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Machines
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Advances in Dynamics and Vibration Control in Mechanical Engineering
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Advances in Dynamics and Vibration Control in Mechanical Engineering

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machines Testing and Maintenance".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 1556

Special Issue Editor

Dr. Ahmed Guerine

E-Mail Website
Guest Editor
Institut Supérieur de l’Automobile et des Transports (ISAT), Université Bourgogne Europe, DRIVE UR 1859, 58000 Nevers, France
Interests: rotar dynamics; uncertainty; gear defects; optimization; vibration

Special Issue Information

Dear Colleagues,

Dynamics and vibration control are a prevalent and significant phenomenon in various mechanical engineering systems, influencing their performance and stability. Vibrations can arise from a multitude of sources, including external forces and rotating machinery. These sources have shown the great sensitivity of the dynamic and vibration analysis of mechanical systems. Therefore, this Special Issue focuses on publishing research that progresses or improves the dynamics and vibration control in mechanical engineering.

In this Special Issue, original research papers are welcome. Research areas may include, but are not limited to, the following topics:

  1. Vibration control;
  2. Dynamic and vibration engineering;
  3. Theoretical modeling;
  4. Uncertainty analysis;
  5. Mechanical dynamics of mechanical systems;
  6. Optimization.

Dr. Ahmed Guerine
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • vibration control
  • uncertainty
  • dynamic analysis
  • mechanical systems

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

14 pages, 4548 KB  
Article
Feasibility Study of Combining Data from Different Sources Within Artificial Intelligence Models to Reduce the Need for Constant Velocity Joint Test Rig Runs
by Julian Lehnert, Orkan Eryilmaz, Arne Berger and Dirk Reith
Machines 2026, 14(2), 148; https://doi.org/10.3390/machines14020148 - 28 Jan 2026
Viewed by 63
Abstract
Within this paper, the feasibility of reducing test rig runs in constant velocity joint (CVJ) development by combining data from different sources (simulation and test rig) for artificial intelligence (AI) models has been investigated. Therefore, a case study on CVJ efficiency prediction using [...] Read more.
Within this paper, the feasibility of reducing test rig runs in constant velocity joint (CVJ) development by combining data from different sources (simulation and test rig) for artificial intelligence (AI) models has been investigated. Therefore, a case study on CVJ efficiency prediction using a random forest regressor, a decision-tree-based algorithm, was conducted using a data set of 95,798 points derived from both test rigs (52,486 points) and multi-body simulations (43,312 points). The amount of test rig data in the training data set of the regression model was iteratively reduced from 100% to 12.5% to investigate the need of expensive test rig data. Additionally, clustering models related to KMeans-algorithm were performed, to achieve further improvements of the AI models and more information about the data. Furthermore, regression and clustering models were performed with data dimensionally reduced by principal component analysis (PCA) to improve model complexity and performance. The number of principal components for the regression model was reduced from 65 to 5 components to investigate their influence on the models predictions. The study showed that combining data from different sources has a positive impact on the predictions of AI models and the confidence of their results, even though the R2-Score of the trained regression models did not change significantly, ranging from 0.927% to 0.9497%. Full article
(This article belongs to the Special Issue Advances in Dynamics and Vibration Control in Mechanical Engineering)
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16 pages, 1409 KB  
Article
Robust Control of Offshore Container Cranes: 3D Trajectory Tracking Under Marine Disturbances
by Ao Li, Shuzhen Li, Phuong-Tung Pham and Keum-Shik Hong
Machines 2026, 14(1), 13; https://doi.org/10.3390/machines14010013 - 20 Dec 2025
Viewed by 282
Abstract
This paper develops accurate three-dimensional trajectory tracking and anti-sway control strategies for offshore container cranes operating in an open-sea environment. A 5-DOF nonlinear dynamic model is developed that simultaneously accounts for the crane’s structural motion, trolley movement, spreader hoisting with variable rope length, [...] Read more.
This paper develops accurate three-dimensional trajectory tracking and anti-sway control strategies for offshore container cranes operating in an open-sea environment. A 5-DOF nonlinear dynamic model is developed that simultaneously accounts for the crane’s structural motion, trolley movement, spreader hoisting with variable rope length, and both lateral and longitudinal payload sway. The model further incorporates external disturbances induced by wave-excited ship motions. To ensure smooth, efficient, and accurate load transportation from the initial to the target position, an effective trajectory-planning scheme is proposed using a quintic polynomial trajectory refined by a ZVD shaper to suppress residual oscillations. A sliding mode control method is then designed to achieve accurate trajectory tracking and load-sway suppression under external disturbances. Numerical simulations demonstrate that the proposed trajectory planning method effectively reduces the residual oscillations and verifies the effectiveness and robustness of the proposed sliding mode control strategy. Full article
(This article belongs to the Special Issue Advances in Dynamics and Vibration Control in Mechanical Engineering)
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30 pages, 4547 KB  
Article
Operator-Based Direct Nonlinear Control Using Self-Powered TENGs for Rectifier Bridge Energy Harvesting
by Chengyao Liu and Mingcong Deng
Machines 2026, 14(1), 7; https://doi.org/10.3390/machines14010007 - 19 Dec 2025
Viewed by 331
Abstract
Triboelectric nanogenerators (TENGs) offer intrinsically high open-circuit voltages in the kilovolt range; however, conventional diode rectifier interfaces clamp the voltage prematurely, restricting access to the high-energy portion of the mechanical cycle and preventing delivery-centric control. This work develops a unified physical basis for [...] Read more.
Triboelectric nanogenerators (TENGs) offer intrinsically high open-circuit voltages in the kilovolt range; however, conventional diode rectifier interfaces clamp the voltage prematurely, restricting access to the high-energy portion of the mechanical cycle and preventing delivery-centric control. This work develops a unified physical basis for contact–separation (CS) TENGs by confirming the consistency of the canonical Voc–Cs relation with a dual-capacitor energy model and analytically establishing that both terminal voltage and storable electrostatic energy peak near maximum plate separation. Leveraging this insight, a self-powered gas-discharge-tube (GDT) rectifier bridge is devised to replace two diodes and autonomously trigger conduction exclusively in the high-voltage window without auxiliary bias. An inductive buffer regulates the current slew rate and reduces I2R loss, while the proposed topology realizes two decoupled power rails from a single CS-TENG, enabling simultaneous sensing/processing and actuation. A low-power microcontroller is powered from one rail through an energy-harvesting module and executes an operator-based nonlinear controller to regulate the actuator-side rail via a MOSFET–resistor path. Experimental results demonstrate earlier and higher-efficiency energy transfer compared with a diode-bridge baseline, robust dual-rail decoupling under dynamic loading, and accurate closed-loop voltage tracking with negligible computational and energy overhead. These findings confirm the practicality of the proposed self-powered architecture and highlight the feasibility of integrating operator-theoretic control into TENG-driven rectifier interfaces, advancing delivery-oriented power extraction from high-voltage TENG sources. Full article
(This article belongs to the Special Issue Advances in Dynamics and Vibration Control in Mechanical Engineering)
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26 pages, 8576 KB  
Article
Bifurcations, Multistability, and Synchronization in the 7-DOF Electromechanical Stick–Slip System
by Filip Sarbinowski, Jan Awrejcewicz and Dariusz Grzelczyk
Machines 2025, 13(12), 1082; https://doi.org/10.3390/machines13121082 - 24 Nov 2025
Viewed by 329
Abstract
The article presents a numerical analysis of a nonlinear seven-degree-of-freedom mechanical system composed of stick–slip-driven masses and magnetically coupled pendulums, emphasizing the influence of friction and magnetic coupling on the system’s dynamics. The objective is to develop a dynamic model, analyze bifurcation structures [...] Read more.
The article presents a numerical analysis of a nonlinear seven-degree-of-freedom mechanical system composed of stick–slip-driven masses and magnetically coupled pendulums, emphasizing the influence of friction and magnetic coupling on the system’s dynamics. The objective is to develop a dynamic model, analyze bifurcation structures and synchronization, and examine multistability and sensitivity to initial conditions. The equations of motion are derived using the Lagrangian formalism and expressed in a dimensionless form. Bifurcation diagrams, phase portraits, spectral diagrams, and attraction basins are used to explore system behavior across parameter ranges. Saddle-node, Neimark–Sacker, and period-doubling bifurcations are observed, along with multiple coexisting attractors—periodic, quasiperiodic, and chaotic—indicating pronounced multistability. Small variations in initial conditions or system parameters lead to abrupt transitions between attractors. It has been shown that the mass of the pendulum strongly affects the system’s synchronization capability. Full article
(This article belongs to the Special Issue Advances in Dynamics and Vibration Control in Mechanical Engineering)
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