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Article

Dynamic Characteristic Analysis and Experimental Verification of Rotor Systems in Large Synchronous Motors

1
School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
2
Harbin Electric Corporation, Harbin 150028, China
*
Author to whom correspondence should be addressed.
Machines 2025, 13(8), 747; https://doi.org/10.3390/machines13080747 (registering DOI)
Submission received: 1 July 2025 / Revised: 29 July 2025 / Accepted: 10 August 2025 / Published: 21 August 2025
(This article belongs to the Special Issue Electrical Machines: Design, Modeling and Control)

Abstract

Large synchronous motors are typically used to drive various load equipment, such as reciprocating compressors. Due to the continuous oscillation of the load, the pulsating torque acting on the main shaft of the synchronous motor will continuously vary with the load changes. This leads to forced oscillations during the dynamic stable operation of the unit, subsequently causing severe problems such as overheating, noise, and failures. Moreover, the rotor length of large synchronous motors is generally greater than the rotor diameter, giving the rotor certain flexible characteristics. During a motor’s operation, it is necessary to cross the first-order critical speed, making resonance highly likely to occur. Therefore, the analysis of dynamic characteristics of large synchronous motors is particularly important. This study investigates the dynamic characteristics of a 7800 kW-18P large synchronous motor rotor system through comprehensive theoretical and experimental analyses. The research encompasses three key aspects: (1) modal analysis comparing fan-equipped and fan-free configurations, (2) harmonic response evaluation, and (3) critical speed determination under concentrated mass conditions. Experimental validation was performed via impact hammer testing, with measured natural frequencies showing a strong correlation with simulated results for the magnetic pole core assembly. The findings not only confirm the operational speed validity but also establish a reliable foundation for the subsequent structural optimization of high-power synchronous machines.

1. Introduction

With the continuous advancement of human economic society, energy demands have been growing increasingly larger. The scale of petrochemical projects employing hydrocracking technology has been consistently expanding. Correspondingly, the specifications required for reciprocating compressor units—the most critical equipment in hydrocracking installations—have also been progressively increasing. Large synchronous motors are typically employed to drive various load equipment such as reciprocating compressors. The load characteristics of such machinery exhibit continuous variations, with torque profiles generally demonstrating periodic fluctuations [1]. Currently, in engineering practice, reciprocating compressors are increasingly adopting a stepless gas volume control system to reduce energy consumption levels and achieve cost savings [2,3]. This system integrates advanced control theory with electromechanical technology, enabling the entire unit to achieve maximum energy savings while maintaining high dynamic control performance [4]. However, when driving reciprocating compressors equipped with a stepless gas volume control system, synchronous motors exhibit non-uniform oscillatory torque characteristics due to the real-time dynamic variations in compressor loading [5,6]. This will induce forced oscillations during the dynamic stable operation of the unit, posing potential risks to the safe and stable operation of the synchronous motor. Therefore, a dynamic characteristic analysis of the motor rotor must be conducted, as the rotor’s superior dynamic performance is essential for ensuring safe motor operation. The proper analysis of rotor system modal characteristics and critical speeds constitutes a critical aspect of both motor design and maintenance.
The dynamic characteristics of large synchronous motors (LSMs) have garnered significant research attention due to their critical role in high-power industrial applications. Recent studies primarily focus on three key aspects: the high-precision modeling of rotor-bearing systems, intelligent vibration suppression techniques, and adaptive control strategies under complex operating conditions.
Zhang et al. [7] conducted a comprehensive rotor dynamic analysis incorporating nonlinear bearing characteristics, revealing that stiffness variations within the range of 108–109 N/m could induce significant shifts in critical speeds. Their finite element model successfully predicted vibration modes in a 10 MW synchronous motor, offering valuable insights for structural optimization. Liu et al. [8] made substantial progress in real-time monitoring by developing a novel sliding mode observer with adaptive gain scheduling, achieving a 92% accuracy in eccentricity detection while reducing the computational load by 40% compared to conventional methods. Wang and Chen [9] pioneered AI-enhanced predictive control by integrating deep reinforcement learning with traditional model predictive control, demonstrating a 35% improvement in transient response during sudden load changes on a 6 MW test platform.
However, current studies on modal and critical speed analyses of large synchronous motors remain relatively scarce, especially for ultra-long shaft systems (e.g., a shaft length of 5 m and a rotor diameter 6 m), for which an in-depth exploration of dynamic characteristics is still needed.
In rotating machinery systems, the predominant vibration modes include rotational, lateral (bending), and axial vibrations. Among these, rotational resonance is particularly critical as it directly impacts operational stability, especially in drivetrain systems. Therefore, for motor rotor systems, the rotational modal characteristics should be prioritized in dynamic analysis and design considerations [10]. In modal analysis, the finite element method (FEA) has become a widely adopted approach due to its ability to handle complex geometric configurations and boundary conditions. Wang et al. [11] investigated the rotor modal characteristics of large hydro-turbine shaft systems under varying rotational speeds using finite element methods. The study revealed a distinct speed-dependent frequency bifurcation phenomenon: the natural frequency of forward whirling modes exhibited progressive stiffening with increasing rotational speed, while backward whirling modes demonstrated corresponding softening behavior. Jung et al. [12] performed a mechanical transient analysis on a rotor core using finite element analysis, by which the pole core structure was optimized to achieve a significant reduction in mechanical stresses within the core bridges. Du et al. [13] conducted a modal analysis on the rotor system of a high-speed permanent magnet motor, systematically investigating the influence of bearing support stiffness, gyroscopic effects, and rotor dimensional parameters on the critical rotational speed. Wang et al. [14] conducted a comprehensive modal analysis and critical speed determination for motor rotor shaft systems using a finite element analysis. The study successfully identified the first six-order modal shapes and corresponding natural frequencies of the rotor system. Through Campbell diagram construction, the critical speeds were precisely determined. The research notably revealed that gyroscopic moments acting on the rotor significantly influence its modal frequency characteristics. Li et al. [15] conducted mechanical simulations on permanent magnet synchronous motor (PMSM) rotors, employing both the finite element method (FEM) and analytical approaches for comparative modal analysis with experimental validation. The study demonstrated superior agreement between the FEM results and experimental data, thereby verifying the accuracy of the finite element methodology. The calculation of natural frequencies in high-speed motors using the three-dimensional finite element method, coupled with the investigation of support stiffness effects on their dynamic characteristics, has emerged as a critical approach for vibration suppression in motor rotor systems [16]. Hong et al. [17] conducted numerical simulations to determine the natural frequencies of high-speed motors and performed a comparative analysis with experimental results. The demonstrated close agreement between simulation and experimental data effectively validated the accuracy of the computational methodology employed in the study. Current research in electromechanical dynamics predominantly focuses on small to medium power-rated high-speed rigid rotors, while studies addressing the dynamic characteristics and factors influencing flexible rotors in large-scale synchronous motors remain comparatively scarce. Compared to small- and medium-sized motors, large synchronous motors exhibit lower rotational speeds and feature rotor lengths exceeding their diameters. These machines predominantly employ flexible rotors that must traverse the first critical speed during their operation and operate between higher-order critical speeds. This operational characteristic poses significant challenges to the dynamic design of large synchronous motors, necessitating a precise dynamic analysis of the rotor system to ensure operational stability and reliability.
This study focuses on a large-scale low-speed synchronous motor (7800 kW, 18-pole, and 300 rpm). Initially, modal analyses are conducted on the rotor system under both bladed and non-bladed configurations to determine their respective natural frequencies. Subsequently, critical speed calculations are performed for the centralized-mass rotor system to evaluate the rationality of operational speed selection. Experimental validation is further conducted using a physical motor prototype to verify the model accuracy. The research outcomes provide crucial theoretical foundations and technical support for ensuring the stable rotor operation of large electrical machinery under complex working conditions.

2. Finite Element Model for Rotor System

In rotor dynamics analysis utilizing finite element analysis software, the rational simplification of three-dimensional rotor models demonstrates substantial engineering significance. The structural complexity of rotor systems often leads to prohibitive computational costs and time expenditures when performing analyses using full three-dimensional models. In dynamic characteristic analyses of rotating machinery systems, the dynamic performance is predominantly governed by three intrinsic mechanical properties: rotational inertia, elastic modulus, and damping characteristics. Consequently, employing simplified modeling methodologies—such as representing rotor components through beam elements, lumped mass points, or axisymmetric models—can effectively reduce computational complexity by minimizing the system’s degrees of freedom. This strategic simplification enables substantial improvements in computational efficiency while maintaining essential dynamic characteristics for engineering analysis. This approach not only effectively captures the primary dynamic characteristics of rotor systems—including critical speeds, vibration modes, and unbalance responses—but also streamlines the model by omitting non-essential details, thereby enabling a more focused analysis on the global dynamic behavior of the rotating machinery system.

2.1. Simplification Techniques for Modal Analysis of Three-Dimensional Rotor Models

The modal characteristics of a rotor system, including natural frequencies, mode shapes, and damping ratios, are collectively determined by multiple interacting factors. These principally encompass the rotor’s mass distribution, geometric configuration, material properties, and moment of inertia—all of which directly govern its stiffness and inertial characteristics. External loads and excitation may induce vibrations but exhibit minimal influence on natural frequencies; system boundary conditions (such as fixed ends or elastic supports) primarily determine the modal distribution and characteristic mode shapes. Through the rational adjustment of these parameters, the modal characteristics of the rotor system can be optimized, thereby enhancing its dynamic performance, operational safety, and operational efficiency.
The dynamic analysis of large synchronous motors mainly adopts geometric symmetry (sector model), concentrated mass approximation, and linearized bearing stiffness to reduce computational costs and retains fine meshes in key areas (such as air gaps) to ensure the accuracy of the model [18,19].
For the large synchronous motor discussed in this study, the structural complexity of the rotor system can be effectively simplified by omitting the fillet features on the rotor core and disregarding the blade-fastening bolt holes in the rotor spider assembly. The magnetic pole core can be simplified into lumped mass points through the mass lumping technique to effectively reduce model complexity.
The rotor assembly of synchronous motors primarily consists of the following components: shaft body, rotor spider, field pole windings, pole cores, cooling fans, exciter armature, exciter cooling fan, and rotating rectifier assembly. The excitation system, owing to its excessive structural complexity and minimal impact on the overall mechanical framework, was simplified in the simulation analysis through substitution with a mass element incorporating rotational inertia properties. The rotor assembly configuration of the synchronous motor is illustrated in Figure 1.
During modal analysis, while both the global deformation of the rotor assembly and local deformation of fan blades must be considered, the inherent complexity of the full-scale model presents challenges. The fixed orientation of fan blades creates geometric asymmetry, and numerous intricate components within the magnetic pole core relative to the overall structure complicate direct simulation. To address this, the analysis was segmented into two components: the fan blade assembly and the magnetic core assembly. The magnetic core subassembly, when analyzed independently, permits the implementation of quarter-symmetry for the simplification of computational efficiency. As illustrated in Figure 2, only the magnetic core segment requires a quarter-symmetry simplification for efficient analysis.

2.2. Simplification Methods for Critical Speed

The analysis of three-dimensional rotor modeling critical speed, a paramount indicator in rotor system dynamics, is dictated by both intrinsic rotor characteristics and external supporting conditions. The rotor’s mass distribution, geometric configuration, material properties, and moment of inertia constitute critical influencing factors. The concentrated mass distribution generally elevates the critical speed, whereas rotors with higher length-to-diameter ratios or denser materials tend to exhibit lower critical speeds. Boundary conditions (including fixed-end, free-end, or elastic supports) significantly affect vibrational modes and natural frequencies, thereby modifying critical speed distribution patterns.
For the highly intricate rotor system under investigation, the spindle and rotor support brackets constitute the most substantial mass proportion within the assembly and serve as critical components. In the critical speed analysis, the bearing parameters were selected based on established engineering practice: a damping coefficient of 2 × 106 N·s/m and a stiffness value of 1 × 108 N/m were assigned to the bearing supports. We retained these essential elements while implementing strategic simplifications to enhance computational efficiency. The rotor geometry was simplified by neglecting minor features such as fillets and small apertures to reduce geometric complexity. Furthermore, the magnetic pole cores were abstracted as concentrated mass points through mass lumping techniques, thereby achieving effective model simplification while preserving mechanical integrity. This study employs a simplified modeling approach that preserves both mass and moment of inertia equivalence before and after the simplification. The methodology retains only critical components of the rotor system, specifically the main shaft and rotor bracket assembly, while representing secondary elements such as wedge keys, magnetic pole cores, and fixing blocks as discrete mass points. Table 1 details the parametric specifications of the simplified entities. Components with negligible contributions to the overall mass or moment of inertia (typically below the 0.5% threshold) were systematically excluded from the model, as their exclusion was determined to exhibit a minimal impact on the comprehensive dynamic analysis.
The streamlined model architecture is schematically presented in Figure 3.

3. Modal Analysis of Electric Motor Rotors

Modal analysis serves as a critical methodology in structural dynamics, primarily employed to investigate a structure’s natural frequencies, mode shapes, and damping characteristics. For electric motor rotor systems, modal analysis enables the identification of vibration behavior across different frequency ranges, thereby providing the essential theoretical foundations for motor design, optimization, and fault diagnosis. Through modal analysis, the natural frequencies and corresponding mode shapes of motor rotors can be precisely determined, which facilitates the avoidance of excessive vibration or structural damage caused by resonance during operation, ultimately enhancing the operational stability and reliability of electric motors.

3.1. Modal Analysis Simulation Results of Fan Blade Structure

Given that the shaft and rotor support structure are axisymmetric, with the fan blades arranged in two opposing orientations (each containing 18 blades of an identical configuration), modal analysis reveals that blades of the same orientation exhibit nearly identical natural frequencies. Consequently, each modal order contains 18 sets of duplicated data. Additionally, the shaft and rotor support structure exhibit symmetry about both the X- and Y-axes, generating two further sets of duplicated data. After eliminating these redundant datasets, the refined results are consolidated in Table 2.
The simulation results of the fan blade section are illustrated in Figure 4. Since the rotational degree of freedom along the Z-axis at the bearing location was not constrained, the first-order mode exhibited a natural frequency of 0 Hz with negligible deformation. The second-order mode manifested as bending deformation at the exciter end, while the third-order mode corresponded to bending deformation at the rotor support bracket. The fourth-order mode was identified as the rotational mode. During rotor system operation, rotational resonance represents the most probable resonance phenomenon. Therefore, the focus was primarily placed on analyzing the modal shape of the rotational mode in the rotor system. The results indicate that deformation during rotational resonance is predominantly concentrated on the fan blades. The increased deformation observed at the blade tips is attributed to their larger radius of rotation, which makes them more susceptible to centrifugal forces during actual operation, thereby resulting in greater structural deflection.

3.2. Modal Analysis Simulation Results of Magnetic Pole Core Assembly

The pole core component of the model exhibits intricate structural complexity and incorporates critical damping bars as essential elements, rendering a comprehensive simplification impractical. Consequently, a quarter-symmetry simplification approach was implemented for the simulation analysis. The resultant modal frequency data obtained from the finite element analysis of the pole core structure are systematically presented in Table 3.
The simulation results of the magnetic pole core section are shown in Figure 5. The second-order modal demonstrates axial displacement along the Z-axis, while the third-order modal manifests as rotational deformation predominantly concentrated in the magnetic pole core. The fourth-order modal corresponds to the bending deformation of the magnetic pole core. Particular attention should be directed to the rotational mode shape of the rotor system. During rotational resonance occurrences, significant deformation is observed to localize specifically in the magnetic pole core region, exhibiting a tendency to detach from the rotor bracket structure.

4. Harmonic Response Analysis of Electric Motor Rotors

Harmonic response analysis of motor rotors plays a pivotal role in evaluating the dynamic characteristics of rotor systems. This analytical approach enables the precise identification of forced vibration behavior within the operational speed range caused by periodic excitations, such as mass unbalance and mechanical misalignment. By predicting vibration responses induced by mechanical excitation sources, the analysis provides critical references for optimizing mechanical parameters including bearing–rotor system stiffness matching and damping configuration. The research outcomes not only offer essential data support for the mechanical dynamic design of motor rotors, but also establish benchmarks for mechanical vibration fault diagnosis. Particularly significant is its contribution to ensuring mechanical stability under variable-speed operation or load fluctuation conditions. Furthermore, this analysis lays a solid foundation for subsequent fatigue life assessments and the reliability optimization of mechanical structures.

4.1. Harmonic Response Analysis Simulation Results of Fan Blade Structure

To comprehensively analyze the deformation behavior and stress distribution of the fan blade assembly under rotational resonance conditions, a harmonic response analysis was conducted on the blade section following the modal analysis. The simulation results are illustrated in Figure 6 and Figure 7. In practical operating conditions, the motor’s load torque alternates and is predominantly concentrated at the flange section. A sinusoidal alternating torque with an amplitude of 180 kN·m was applied at the flange section, covering the frequency range of 0–110 Hz to encompass the first four natural frequencies (0, 49, 69, and 109 Hz) identified in the modal analysis. The excitation frequency was incremented in 10 Hz steps to ensure complete spectral coverage, with the application location illustrated in Figure 6. The harmonic response analysis reveals that deformation remains predominantly concentrated at the upper section of the blades, while stress is primarily localized at the lower-left corner of the blade region. This stress distribution correlates with the rotational direction. The bolt connection at the lower-left corner of the blade assembly emerges as the most probable location for fatigue fracture during actual operation. The quantified alternating stress characteristics obtained from this analysis establish critical input parameters for subsequent life assessments and fatigue analyses of this critical blade component.

4.2. Harmonic Response Analysis Simulation Results of Magnetic Pole Core Assembly

To comprehensively analyze the deformation and stress distribution in the magnetic pole core during rotational resonance, harmonic response analysis was implemented. The simulation results are illustrated in Figure 8 and Figure 9. The analysis reveals that the stress concentration primarily occurs at the junction between the damper bars and the damper ring within the magnetic pole core assembly. Among the eight evenly distributed damper bars, the central bar sustains the maximum mechanical load. The computational results align with practical failure patterns observed during operation, specifically the motor malfunctions caused by broken damping bars in large synchronous motors. In actual service conditions, these fractures most frequently develop at the interfaces between damping bars and end rings. The harmonic response characteristics obtained from this study establish critical boundary conditions for subsequent fatigue life assessments and damage mechanism investigations of damper bars, thereby providing a theoretical foundation for optimizing the structural durability of these critical electromechanical components.

5. Critical Rotational Speed Analysis of Electric Motor Rotors

In rotor dynamics analysis, the critical speed refers to the rotational velocity at which the operating frequency of a rotor system coincides with its natural frequency, holding significant engineering implications. Through critical speed identification, engineers can prevent rotor systems from operating near or at these hazardous rotational velocities, thereby maintaining operational safety by steering clear of resonance zones. Furthermore, critical speed analysis enables a comprehensive evaluation of rotor system stability. By optimizing design parameters such as bearing stiffness and rotor geometry, engineers can strategically modify the distribution of critical speeds, effectively enhancing the rotor’s dynamic characteristics and operational reliability.
The Campbell diagram plays a pivotal role in analyzing the critical speeds of rotor systems by graphically presenting the variation in natural frequencies with rotational speed, superimposed with excitation frequency lines to visually identify critical speed positions. For synchronous motors experiencing rotational resonance, the primary excitation source stems from mass unbalance. Accordingly, the excitation frequency line is selected as the 1× rotational frequency line. The rotational speed range of 0–300 rpm was divided into four intervals, with the first 15 modal frequencies measured during each test. The Campbell diagram from the numerical simulation result is illustrated in Figure 10.
At a rotational speed of 300 rpm, the 15th-order vibration mode is illustrated in Figure 11. The actual natural frequency of this mode measures 298 Hz (note: the software artifact forced the value to be displayed as 0 Hz, which does not reflect the physical reality). This confirms that the excitation frequency line and the natural frequency curve of Mode 15 do not intersect in practical operation. Consequently, only the first five critical speed points are genuine, with the sixth point’s rotational speed significantly exceeding the rated speed of the large synchronous motor. This configuration ensures all critical speeds remain outside the motor’s normal operational range.
The actual critical speed analysis reveals five distinct critical speed points, as illustrated in Figure 12, where FW and BW denote forward whirling and backward whirling, respectively. The critical speed analysis reveals two distinct whirling modes: forward whirling and backward whirling. Forward whirling, characterized by vibration orbits that rotate in the same direction as the shaft rotation, represents the primary resonance phenomenon induced by mass unbalance in rotor systems. Consequently, when analyzing rotational resonance behavior, only forward whirling requires consideration as the dominant mode. Therefore, only the two forward whirling modes (the third and sixth orders) require consideration. The third-order natural frequency corresponds to a composite bending–translational mode shape (Figure 13), which fundamentally results from structural deformation rather than rotational effects. In contrast, the sixth-order natural frequency manifests as a rotational mode shape (Figure 14), representing the genuine critical speed that must be avoided during operational conditions. The calculated critical speed was determined to be 21.051 rpm. Notably, this value is substantially lower than the rated operating speed of 300 rpm for this large-scale synchronous motor. This significant margin ensures that the motor maintains stable and continuous operations throughout its designed speed range.

6. Modal Testing of Motor Rotor Systems

Based on the aforementioned theoretical analysis, this study conducted impact hammer modal testing on the actual motor rotor. The experimental setup employed a fully assembled large synchronous motor, complete with bearing support structures, ensuring close alignment with the boundary conditions specified in the simulation analysis. As illustrated in Figure 15, the measurement configuration includes the overall motor rotor assembly (Figure 15a) and the selection of measurement points, with the output flange end being designated as the primary measurement location. A triaxial acceleration sensor was employed to capture vibration responses (Figure 15b). The impact excitation was applied adjacent to the measurement point due to the substantial mass of the motor rotor, where insufficient impact energy or excessive distance from the excitation source could result in undetectable vibration signals. Impact directions were systematically applied along both axial and radial orientations to ensure comprehensive modal parameter acquisition. Figure 15c shows a flowchart of the experimental procedure, and the output results of the testing process are presented in Figure 15d.
As illustrated in Figure 16, the natural frequencies observed in radial impact testing consistently manifest as odd harmonics of the 50 Hz power supply frequency (i.e., 50 Hz, 150 Hz, 250 Hz, etc.). This phenomenon contradicts conventional mechanical excitation patterns, as typical vibration spectra should not contain odd multiples of line frequency. Two plausible mechanisms are proposed for this anomaly:
  • Power Supply Interference: During testing on the intact motor assembly, the fundamental power frequency and its harmonics may infiltrate vibration sensors through electromagnetic field coupling or electrical circuit coupling, thereby contaminating measurement signals with odd harmonic components;
  • Stator–Rotor Electromechanical Interaction: The complete motor configuration includes both stator and rotor components. Radial impacts may induce relative displacement between these electromagnetic subsystems, potentially generating stator–rotor coupling effects. This electromechanical interaction could preferentially excite odd harmonic frequencies in the system’s dynamic response.
Figure 16. Frequency response curve under radial impact.
Figure 16. Frequency response curve under radial impact.
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This frequency characteristic suggests either measurement signal contamination by power line interference or the emergence of nonlinear electromagnetic–structural coupling phenomena during transient impact events. Further isolation testing (electrically decoupled configuration) and modal analyses are recommended to distinguish between these mechanisms.
Figure 17 presents the modal test results under axial impact loading. Due to the model’s complexity, the simulation analysis was performed by dividing the system into two separate components—the magnetic pole core assembly and the fan blade assembly—to investigate their individual dynamic responses. In contrast, experimental testing was conducted on the fully assembled rotor system, precluding the isolated component evaluation. For comparative validation, we selected the magnetic pole core simulation results from Section 3.2 for analysis, as this component demonstrates greater influence on the overall system dynamics.
The peak values in Figure 17 correspond to the motor’s natural frequencies, which can be precisely determined using the cursor positioning function in the analysis software to identify and record each resonant peak’s exact frequency value. The results presented in Table 4 indicate that the natural frequencies obtained through the simulation exhibit relatively minor discrepancies compared with experimental measurements, demonstrating the reliability of the simulation model. Notably, certain experimentally observed frequencies (e.g., 207 Hz, 308 Hz, and 400 Hz) not corresponding to the simulation results were identified as even-order harmonics of the power supply frequency, potentially attributable to rotor–stator coupling effects or power supply frequency interference phenomena.

7. Conclusions

This study addresses the rotor dynamics of large synchronous motors, focusing on a low-speed 7800 kW-18P synchronous motor with a rated speed of 300 rpm. Using the finite element method (FEM), the modal characteristics and vibration modes of the rotor system were comprehensively analyzed under both fan-blade-equipped and fan-blade-free configurations. Experimental validation was conducted to verify the computational results. Additionally, a critical speed analysis was performed to assess the rationality of the motor’s operational speed margins. The investigation yielded the following conclusions:
(1)
Through the modal analysis and harmonic response analysis of the fan blade assembly and magnetic pole core in the rotor system, this study identified deformation patterns and stress distribution characteristics under rotational modes. The analysis revealed that during rotational resonance, the fan blade assembly exhibited concentrated deformation at its upper section, with the primary stress accumulation at the bolt connection in the lower-left corner, indicating this location as a high-risk zone for fatigue fracture. For the magnetic pole core, deformation primarily occurred in the core structure itself, while peak stresses emerged at the damper bar–damper ring interface, particularly in the central damper bar that endured the maximum stress—findings consistent with actual fracture locations. These harmonic response analysis results provide critical data support for lifespan calculations and fatigue assessments of key rotor components, establishing a theoretical foundation for optimizing rotor system design to enhance operational reliability and safety;
(2)
Through a Campbell diagram analysis of the critical speeds in the rotor system of a large synchronous motor, this study elucidated the variation patterns of natural frequencies with rotational speed and clarified critical speed distribution characteristics. The simulation results demonstrate only five practical critical speed points. The third-order natural frequency corresponds to bending and translational mode shapes unrelated to rotation, while the sixth-order rotational mode at 21.051 rpm represents the critical speed that must be avoided in actual operating conditions. Given that the motor’s rated operational speed of 300 rpm far exceeds this critical threshold, the system maintains stable operations without the risk of rotational resonance phenomena;
(3)
Through the analysis of radial and axial impact testing results, it was observed that the natural frequencies measured in radial impact experiments consistently manifested as odd harmonics of the fundamental 50 Hz power frequency (e.g., 50 Hz, 150 Hz, and 250 Hz). This phenomenon is hypothesized to originate from power supply interference or electromagnetic coupling between stator and rotor components, suggesting that in intact motor operation, power frequency harmonics may infiltrate vibration sensors through electromagnetic field interactions or circuit coupling mechanisms. In axial impact testing, the minimal deviations between the experimentally measured natural frequencies of the pole core assembly and simulation results validate the reliability of the numerical model. However, the persistent presence of even harmonics adjacent to power frequency multiples likely indicates residual electromagnetic interactions or power supply artifacts;
(4)
These findings from the simulations and experiments emphasize the significant influence of electrical interference mechanisms on experimental measurements, necessitating the subsequent optimization of testing protocols for interference mitigation. Concurrently, the validated simulation model establishes a robust foundation for subsequent dynamic analyses of rotor systems.

Author Contributions

Conceptualization, methodology, formal analysis, data Curation, writing—original draft, Y.L.; validation, investigation, data acquisition, writing—review & editing, J.H.; experimental design, supervision of experiments, R.L.; supervision, funding acquisition, project administration, writing—review & editing, final approval of manuscript, Q.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Natural Science Foundation of China—NSAF Joint Fund, grant number U2430215.

Conflicts of Interest

Author Rui Li was employed by the company Harbin Electric Corporation. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Figure 1. (a) The original rotor model; (b) the simplified rotor model.
Figure 1. (a) The original rotor model; (b) the simplified rotor model.
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Figure 2. (a) Magnetic pole core section of the motor; (b) fan blade section of the motor.
Figure 2. (a) Magnetic pole core section of the motor; (b) fan blade section of the motor.
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Figure 3. Critical speed simulation model.
Figure 3. Critical speed simulation model.
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Figure 4. Modal simulation of the fan blade section: (a) second-order mode shape; (b) third-order mode shape; (c) fourth-order mode shape.
Figure 4. Modal simulation of the fan blade section: (a) second-order mode shape; (b) third-order mode shape; (c) fourth-order mode shape.
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Figure 5. Modal simulation of the pole core section: (a) second-order mode shape; (b) third-order mode shape; (c) fourth-order mode shape.
Figure 5. Modal simulation of the pole core section: (a) second-order mode shape; (b) third-order mode shape; (c) fourth-order mode shape.
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Figure 6. The position of torque and deformation of the blade section.
Figure 6. The position of torque and deformation of the blade section.
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Figure 7. Force analysis of the blade section.
Figure 7. Force analysis of the blade section.
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Figure 8. Deformation of the pole core section.
Figure 8. Deformation of the pole core section.
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Figure 9. Force analysis of the pole core section.
Figure 9. Force analysis of the pole core section.
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Figure 10. Campbell diagram of the rotor system.
Figure 10. Campbell diagram of the rotor system.
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Figure 11. Mode shape of 15th mode (rotational speed: 300 rpm).
Figure 11. Mode shape of 15th mode (rotational speed: 300 rpm).
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Figure 12. Critical speed diagram.
Figure 12. Critical speed diagram.
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Figure 13. Third-order mode shape.
Figure 13. Third-order mode shape.
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Figure 14. Sixth-order mode shape.
Figure 14. Sixth-order mode shape.
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Figure 15. Physical modal testing of the electric motor: (a) the overall rotor assembly of electric motor; (b) sensor and measurement point locations; (c) the flowchart of experimental procedure; (d) output results of testing process.
Figure 15. Physical modal testing of the electric motor: (a) the overall rotor assembly of electric motor; (b) sensor and measurement point locations; (c) the flowchart of experimental procedure; (d) output results of testing process.
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Figure 17. Frequency response curve under axial impact.
Figure 17. Frequency response curve under axial impact.
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Table 1. Simplified entity parameters.
Table 1. Simplified entity parameters.
PartQuantityQuality/KgMoment of Inertia/(Kg∙m2)
Wedge363.2Low
Fixed Block720.51Low
Pole Core184334.97
Total 808289.51
Table 2. Modal simulation data of blade section.
Table 2. Modal simulation data of blade section.
Mode NumberFrequency/HzMode NumberFrequency/Hz
108208
2129235
37010271
49311298
59512318
614713327
718814355
Table 3. Modal simulation data of pole core section.
Table 3. Modal simulation data of pole core section.
Mode NumberFrequency/HzMode NumberFrequency/Hz
108164
2499175
36910229
410911346
511112379
611213456
715614503
Table 4. Natural frequency results: simulation versus experiment.
Table 4. Natural frequency results: simulation versus experiment.
NumberSimulation/HzExperiment/HzError/%
149466.12
269655.80
31101121.81
41561531.92
51751781.71
62292342.18
73463440.58
83793702.27
94564531.54
105034971.19
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Liu, Y.; Hou, J.; Li, R.; Bai, Q. Dynamic Characteristic Analysis and Experimental Verification of Rotor Systems in Large Synchronous Motors. Machines 2025, 13, 747. https://doi.org/10.3390/machines13080747

AMA Style

Liu Y, Hou J, Li R, Bai Q. Dynamic Characteristic Analysis and Experimental Verification of Rotor Systems in Large Synchronous Motors. Machines. 2025; 13(8):747. https://doi.org/10.3390/machines13080747

Chicago/Turabian Style

Liu, Yushuai, Jiahao Hou, Rui Li, and Qingshun Bai. 2025. "Dynamic Characteristic Analysis and Experimental Verification of Rotor Systems in Large Synchronous Motors" Machines 13, no. 8: 747. https://doi.org/10.3390/machines13080747

APA Style

Liu, Y., Hou, J., Li, R., & Bai, Q. (2025). Dynamic Characteristic Analysis and Experimental Verification of Rotor Systems in Large Synchronous Motors. Machines, 13(8), 747. https://doi.org/10.3390/machines13080747

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