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Characteristic Model-based Adaptive Fault Tolerant Control for Four-motor Synchronization Systems Considering Actuator Failure

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Abstract

This article proposes a characteristic model-based adaptive fault tolerant control scheme to deal with actuator failure in four-motor synchronization systems, which usually causes sudden inertia ratio change and backlash increase. Firstly, the characteristic modeling method is applied into servo system to obtain a simplified system model without losing high-order features. Also, this model could reflect real-time system status through three characteristic parameters. Secondly, a particle swarm optimization algorithm-based estimator is designed to identify characteristic parameters online. By this way, the characteristic model could react to inertia ratio changes quickly and eliminate its negative effect in signal tracking. Thirdly, an improved adaptive electric anti-backlash method is used to restrain backlash. Compared to regular anti-backlash technique, this adaptive one uses a neural network-based fault detector to monitor motors and adjust bias current according to different actuator status, even when one motor breaks down. With these three steps combined, a fast terminal sliding mode controller is finally designed as fault tolerant controller and the stability of this closed-loop system is guaranteed by Lyapunov stability theorem. At last, the simulation and experiment results prove the effectiveness of the proposed control scheme in system control and fault tolerance.

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Authors and Affiliations

  1. School of Automation, NanJing University of Science and Technology, 200 Xiaolingwei, XuanWu Block, Nanjing, Jiangsu Province, China

    Yang Gao, Jiali Ma, Qingwei Chen & Yifei Wu

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  1. Yang Gao
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  2. Jiali Ma
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  3. Qingwei Chen
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  4. Yifei Wu
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Corresponding author

Correspondence to Yifei Wu.

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This work was supported by the National Natural Science Foundation of China under Grant 61333008 and National Defense Basic Scientific Research Program of China under Grant JCKY2019606D001.

Yang Gao is a Ph.D. student in the School of Automation, Nanjing University of Science & Technology. His research interests include adaptive control, servo system, characteristic model methodology and system identification.

Jiali Ma is a Ph.D. student in the School of Automation, Nanjing University of Science & Technology. His research interests include multi-agent system control.

Qingwei Chen is a Professor in the School of Automation, Nanjing University of Science & Technology. His research interests include servo system control, fuzzy control, integrated navigation and nonlinear system control.

Yifei Wu is a Professor in the School of Automation, Nanjing University of Science & Technology. His research interests include servo system control, intelligent robots and integrated navigation.

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Gao, Y., Ma, J., Chen, Q. et al. Characteristic Model-based Adaptive Fault Tolerant Control for Four-motor Synchronization Systems Considering Actuator Failure. Int. J. Control Autom. Syst. 19, 4010–4024 (2021). https://doi.org/10.1007/s12555-020-0643-y

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  • DOI: https://doi.org/10.1007/s12555-020-0643-y

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