Application of Advanced Control Technologies Using Digital Signal Processors

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 14542

Special Issue Editors


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Guest Editor
Department of Mechatronics Engineering, National Kaohsiung University of Science and Technology, No. 1 University Rd., Yanchao District, Kaohsiung City 824, Taiwan
Interests: motor control; nonlinear control; DSPs; mechatronics

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Guest Editor
Department of Mechatronics Engineering, National Kaohsiung University of Science and Technology, No. 1 University Rd., Yanchao District, Kaohsiung City 824, Taiwan
Interests: hybrid systems; nonlinear systems; adaptive control; switching control
Special Issues, Collections and Topics in MDPI journals
Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Interests: hybrid systems; nonlinear systems; adaptive control; switching control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Digital signal processing and control engineering have been widely used in many areas of science and engineering. Control systems are designed to satisfy certain objectives such as safety regulations, reliable production, disturbance rejection, and so on and to operate under certain desired specifications and constraints for real-world problems. Moreover, there is a wide range of digital signal processing techniques that need to be considered in instrumentation and mechatronic control applications. Advanced control techniques combine and extend methods established from several research fields such as control theory, mathematics, and computer science. Several advanced control approaches have been developed and applied for different types of automatic mechatronic systems. However, due to the integration of mechatronic systems in modern industry, in our daily life, and in the physical and even the virtual world, it is necessary to explore new advanced control methods for mechatronic systems in order to meet the most challenging performance requirements. The objective of this Special Issue is to present the latest research contributions and to boost and enhance advanced control approaches using digital signal processing for robotic systems. It is open to all researchers in this area. It is expected that novel design approaches will be designed and applied for real-world automatic mechatronic applications. It is hoped that this Special Issue will provide a useful reference about recently developed approaches for the control of automatic mechatronic systems. While this Special Issue invites topics broadly across advanced automatic mechatronic systems with signal, image, and video processing algorithms and technologies, some specific topics include, but are not limited to:

- Signal/image/video processing algorithms for advanced automatic mechatronic systems;

- Robotic control systems;

- Vehicle control systems;

- Motion control systems;

- Real-time, distributed, robotic, embedded, computer, and wireless control technologies;

- Advanced control algorithms using digital signal processing;

- Novel applications for digital signal processing control.

Dr. Wu-Sung Yao
Dr. Powen Hsueh
Prof. Dr. Xudong Zhao
Guest Editors

Manuscript Submission Information

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Keywords

  • digital signal processing
  • advanced control
  • automatic mechatronic system
  • digital signal processing control
  • robotic control system
  • vehicle control system
  • motion control system

Published Papers (7 papers)

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Research

17 pages, 646 KiB  
Article
Minimal-Approximation-Based Adaptive Event-Triggered Control of Switched Nonlinear Systems with Unknown Control Direction
by Yumeng Cao, Ning Zhao, Ning Xu, Xudong Zhao and Fawaz E. Alsaadi
Electronics 2022, 11(20), 3386; https://doi.org/10.3390/electronics11203386 - 19 Oct 2022
Cited by 29 | Viewed by 1310
Abstract
In this paper, the adaptive neural network event-triggered tracking problem is investigated for a class of uncertain switched nonlinear systems with unknown control direction and average dwell time switching. To reduce the communication network traffic, an event-triggering mechanism based on the tracking error [...] Read more.
In this paper, the adaptive neural network event-triggered tracking problem is investigated for a class of uncertain switched nonlinear systems with unknown control direction and average dwell time switching. To reduce the communication network traffic, an event-triggering mechanism based on the tracking error is explored in the controller-to-actuator channel. Additionally, the minimal approximation technology, which designs virtual control laws as the unavailable intermediate signals, is introduced to reduce the difficulty of the controller design process. Compared with the existing adaptive backstepping designs using the filtering technology, the virtual controllers are recursed into a lumped nonlinear function to settle the explosion of complexity, and one neural network is employed in the recursive process. Meanwhile, a boundedness lemma on Nussbaum function is given to address the unknown control direction under the minimal approximation design framework. The stability of the overall closed-loop system is rigorously proved by the Lyapunov stability theory, and the rationality of the proposed strategy is verified by a simulation example. According to the proposed event-triggered mechanism, 81.25% of the communication resources are saved in the simulation example. Full article
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25 pages, 12338 KiB  
Article
Towards Data-Driven Fault Diagnostics Framework for SMPS-AEC Using Supervised Learning Algorithms
by Akeem Bayo Kareem and Jang-Wook Hur
Electronics 2022, 11(16), 2492; https://doi.org/10.3390/electronics11162492 - 10 Aug 2022
Cited by 11 | Viewed by 1671
Abstract
The service life of aluminium electrolytic capacitors is becoming a critical design factor in power supplies. Despite rising power density demands, electrolytic capacitors and switching devices are the two most common parts of the power supply that age (deteriorate) under normal and diverse [...] Read more.
The service life of aluminium electrolytic capacitors is becoming a critical design factor in power supplies. Despite rising power density demands, electrolytic capacitors and switching devices are the two most common parts of the power supply that age (deteriorate) under normal and diverse working conditions. This study presents a fault diagnostics framework integrated with long-term frequency for a switched-mode power supply aluminium electrolytic capacitor (SMPS-AEC). Long-term frequency condition monitoring (CM) was achieved using the advanced HIOKI LCR meter at 8 MHz. The data acquired during the experimental study can help to achieve the needed paradigm from various measured characteristics of the SMPS/power converter component to detect anomalies between the capacitors selected for analysis. The CM procedure in this study was bound by the electrical parameters—capacitance (Cs), equivalent series resistance (ESR), dissipation factor (DF), and impedance (Z)—-acting as degradation techniques during physical and chemical changes of the capacitors. Furthermore, the proposed methodology was carried out using statistical feature extraction and filter-based correlation for feature selection, followed by training, testing and validation using the selected supervised learning algorithms. The resulting assessment revealed that with increased data capacity, an improved performance was achieved across the chosen algorithms out of which the k-nearest neighbors (KNN) had the best average accuracy (98.40%) and lowest computational cost (0.31 s) across all the electrical parameters. Further assessment was carried out using the fault visualization aided by principal component analysis (PCA) to validate and decide on the best electrical parameters for the CM technique. Full article
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20 pages, 10451 KiB  
Article
Dynamic Stiffness Enhancement of the Quadcopter Control System
by Wu-Sung Yao and Chun-Yi Lin
Electronics 2022, 11(14), 2206; https://doi.org/10.3390/electronics11142206 - 14 Jul 2022
Cited by 1 | Viewed by 1192
Abstract
Vibrations often result in fatigue breakage in quadcopter flight operations. Reducing the vibration effect is the main important issue for quadcopter flight. Enhanced dynamic stiffness is required in the quadcopter control system for the vibration rejection ability. In this paper, the dynamic stiffness [...] Read more.
Vibrations often result in fatigue breakage in quadcopter flight operations. Reducing the vibration effect is the main important issue for quadcopter flight. Enhanced dynamic stiffness is required in the quadcopter control system for the vibration rejection ability. In this paper, the dynamic stiffness of the quadcopter control system is constructed and is used as an index for the performance of the quadcopter control system to resist an external oscillatory load. To rapidly reduce the vibration effect, a repetitive controller is introduced in the quadcopter control system, where the direct dynamic stiffness and the quadrature dynamic stiffness with variable frequencies are proposed. A theoretical model of the dynamic stiffness of the quadcopter control system is established by analyzing the definition of dynamic stiffness. Simulated and experimental results show that the magnitudes of the direct dynamic stiffness with the proposed repetitive controller are larger than those without the repetitive controller. The quadrature dynamic stiffness with the proposed repetitive controller is relatively smooth compared to that without the proposed repetitive controller, which can be used to verify the stability being improved by the designed repetitive controller. In addition, the magnitudes of the loss factor of the quadcopter control system with the repetitive controller are lower than those without the repetitive controller. Full article
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22 pages, 12105 KiB  
Article
Design of Active Continuous Variable Transmission Control System with Planetary Gear
by Wu-Sung Yao and Chun-Yi Lin
Electronics 2022, 11(7), 986; https://doi.org/10.3390/electronics11070986 - 23 Mar 2022
Cited by 2 | Viewed by 2412
Abstract
Planetary gearboxes have been employed in various applications due to their advantages of maintaining a high speed-reduction ratio, such as in wind power applications which have now become a prevailing green energy resource. A traditional power transmission machine of the wind turbine has [...] Read more.
Planetary gearboxes have been employed in various applications due to their advantages of maintaining a high speed-reduction ratio, such as in wind power applications which have now become a prevailing green energy resource. A traditional power transmission machine of the wind turbine has a fixed gear-ratio mechanical gearbox for speed-increasing transmission. The purpose of this study is to propose an active continuous variable transmission (ACVT) control system with a planetary gear to apply to the wind turbine. The planetary gear holds three terminals, i.e., the ring gear, the planet carrier, and sun gear, and the motions of three terminals can be controlled purposely by the servomotors to achieve ACVT. The three different transmission types of the proposed ACVT can be operated. The dynamic characteristic of the planetary gear is expressed in block diagram form, and a pseudo derivative feedback feed-forward controller of the velocity control loop is designed for the required performance. The results can be used to verify the effect of the proposed ACVT with the planetary gear. Full article
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18 pages, 12844 KiB  
Article
Control Design of Observer-Based Virtual Soft Boundary for a Power-Assist System with Limited Operating Range
by Po-Wen Hsueh, Wu-Sung Yao and Tien-Min Kao
Electronics 2022, 11(5), 690; https://doi.org/10.3390/electronics11050690 - 23 Feb 2022
Cited by 1 | Viewed by 1306
Abstract
Control design of power-assist systems has been widely applied to human-robot interactive systems such as wearable exoskeleton systems, of which the range of motion limitation of human joints in the power-assist systems is essential. This paper presents a virtual soft boundary design for [...] Read more.
Control design of power-assist systems has been widely applied to human-robot interactive systems such as wearable exoskeleton systems, of which the range of motion limitation of human joints in the power-assist systems is essential. This paper presents a virtual soft boundary design for a human-robot cooperation system with a limited operating range. The proposed virtual soft boundary is realized by impedance control and integrated into the power-assist robot arm system; meanwhile, power-assist robot arm systems are typical human-in-the-loop systems, and the control of the power-assist system in performing in accordance with a human’s perception is a significant issue. Therefore, a model-based disturbance observer with a pseudo-derivative feedback feedforward (PDFF) compensator is designed to effectively estimate the human’s torque for an appropriate motor torque command. Experimental results show that the proposed control method can estimate the human torque exerted on the robot arm system to achieve a power-assist system, and the virtual soft boundary can be realized by the impedance control and integrated into the power-assist robot arm system. Full article
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19 pages, 61705 KiB  
Article
Analysis and Design Multiple Layer Adaptive Kalman Filter Applied to Electro-Optical Infrared Payload Vision System
by Chun-Yi Lin and Wu-Sung Yao
Electronics 2022, 11(5), 677; https://doi.org/10.3390/electronics11050677 - 23 Feb 2022
Cited by 3 | Viewed by 1512
Abstract
This study designs a trigger to determine the number of layers of a multi-layer adaptive Kalman filter and applies it to optoelectronic infrared payload system vision. This feature reduces the number of mechanically stabilized motors, equipment weight, CPU resources, and power for an [...] Read more.
This study designs a trigger to determine the number of layers of a multi-layer adaptive Kalman filter and applies it to optoelectronic infrared payload system vision. This feature reduces the number of mechanically stabilized motors, equipment weight, CPU resources, and power for an electro-optical infrared payload system. The goal is to reduce the traditional use of multiple gyroscopes to perform calibration measurements on different gimbal frames by this design. In this study, mathematical modeling was carried out for the three-axis, three-frame camera stabilizer system, and the system foundation without motor and gimbal frame was established to achieve aperture-type camera mode. The exposure of the drone’s payload structure outside the aircraft can be reduced. This study provides the adaptive Kalman filter with the offset parameters of the camera image Minimum Output Sum of Squared Error and the three-axis degrees of freedom vector and angle data on the gyroscope. By using the image processing unit, the offset was corrected at each frame per second. The experimental results show that under the same hardware, failure limit and camera field of view constraints. The processing time by this method was compared to the traditional frame correction and full image stabilization methods. The results show that the proposed method can shorten 6 microseconds under the traditional method and can be used to provide lower power consumption, lower image delay, and a larger viewing angle range. Full article
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18 pages, 3959 KiB  
Article
Research on Design and Monitoring of a Development Index of an Industrial Internet Platform Based on a Fixed-Base Index Method
by Keqin Dou, Jun Li and Yong Zhou
Electronics 2022, 11(2), 274; https://doi.org/10.3390/electronics11020274 - 16 Jan 2022
Cited by 3 | Viewed by 4241
Abstract
Accelerating the innovation and development of the Industrial Internet Platform is inevitably necessary for the integration of new-generation information technology and the manufacturing industry. It is also the key point for promoting the construction of manufacturing power and network power. In this paper, [...] Read more.
Accelerating the innovation and development of the Industrial Internet Platform is inevitably necessary for the integration of new-generation information technology and the manufacturing industry. It is also the key point for promoting the construction of manufacturing power and network power. In this paper, based on the comprehensive analysis of the relevant problems of China’s Industrial Internet Platform development monitoring, the development index of the Industrial Internet Platform is designed. Taking a typical domestic Industrial Internet Platform as an example, the development index of the Industrial Internet Platform in 2018, 2019, and 2020 are comprehensively calculated in this paper. The results show that China’s Industrial Internet Platform is rapidly growing in many aspects, such as industrial equipment cloud and industrial APP. There is a large space for improving the industrial knowledge accumulation reuse and the application promotion of small/medium-sized enterprises. The results in this paper can provide scientific suggestions and practical references for the government, enterprises, scientific research institutions, which is of great significance in promoting the healthiness and sustainability of the Industrial Internet Platform. Full article
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