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Adaptive Backstepping Based Fault-tolerant Control for High-speed Trains with Actuator Faults

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  • Control Theory and Applications
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Abstract

In this paper, the fault-tolerant control problem is addressed for high-speed trains with unknown time-varying system parameters, traction system actuator faults and disturbances. To represent the unknown time-varying system parameters in mathematical form, a new piecewise time-varying indicator including commonly used 0–1 case, is employed, which results in a piecewise time-varying nonlinear model with some unknown parameters and piecewise disturbances. For the healthy system with the time-varying indicator in the unknown forms and having known switching time instants, an adaptive backstepping controller is proposed to deal with the unknown system parameters and disturbances and achieve the position tracking. Further, the adaptive backstepping based fault-tolerant controller with adaptive laws is developed to guarantee the system states boundedness and the position tracking, in the presence of unknown actuator faults. Based on Lyapunov function, the stability of the closed-loop system is proved. Simulation studies on CRH2 (China Railway High-speed Train II) verify the performance of the proposed fault-tolerant control scheme.

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Author information

Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Shangkun Liu, Bin Jiang & Zehui Mao

  2. Jiangsu Key Laboratory of Internet of Things and Control Technologies, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Shangkun Liu, Bin Jiang & Zehui Mao

  3. Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, 47057, Duisburg, Germany

    Steven X. Ding

Authors
  1. Shangkun Liu
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  2. Bin Jiang
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  3. Zehui Mao
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  4. Steven X. Ding
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Corresponding author

Correspondence to Bin Jiang.

Additional information

Recommended by Editor Jessie (Ju H.) Park. This work was supported in part by the National Natural Science Foundation of China under Grant 61490703, and Grant 61573180, in part by the Project through the Priority Academic Program Development of Jiangsu Higher Education Institutions, in part by Qing Lan Project, and in part by the Fundamental Research Funds for the Central Universities No. NE2019101.

Shangkun Liu received his B.S. degrees in Automation Engineering from Nanjing University of Aeronautics and Astronautics, China, in 2016. He is currently pursuing a Ph.D. degree from the College of Automation Engineering in Nanjing University of Aeronautics and Astronautics, Nanjing, China. His current research interests include fault diagnosis and fault-tolerant control with faults and disturbances, and their applications in high-speed trains.

Bin Jiang obtained his Ph.D. degree in Automatic Control from Northeastern University, Shenyang, China, in 1995. He had ever been postdoctoral fellow, research fellow and visiting professor in Singapore, France, USA and Canada, respectively. Now he is a Chair Professor of Cheung Kong Scholar Program in Ministry of Education and Vice President of Nanjing University of Aeronautics and Astronautics, China. He won the second class Prize of National Natural Science Award of China. He currently serves as Associate Editor or Editorial Board Member for a number of journals such as IEEE Trans. On Control Systems Technology; IEEE Trans. On Fuzzy Systems; Int. J. of Control, Automation and Systems; Nonlinear Analysis: Hybrid Systems; Acta Automatica Sinica; Systems Engineering and Electronics Technologies. He is Chair of Control Systems Chapter in IEEE Nanjing Section, a member of IFAC Technical Committee on Fault Detection, Supervision, and Safety of Technical Processes. His research interests include fault diagnosis and fault tolerant control and their applications in aircrafts, satellites and high-speed trains.

Zehui Mao received her Ph.D. degree in Control Theory and Control Engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2009. She is now an associate professor at the College of Automation Engineering in Nanjing University of Aeronautics and Astronautics, China. And she is now a visiting scholar in University of Virginia. She worked in the areas of fault diagnosis, with particular interests in nonlinear control systems, sampled-data systems and networked control systems. Her current research interests include fault diagnosis and fault-tolerant control of systems with disturbance and incipient faults, and high speed train and spacecraft flight control applications.

Steven X. Ding received his Ph.D. degree in electrical engineering from the Gerhard-Mercator University of Duisburg, Germany, in 1992. From 1992 to 1994, he was a R&D engineer at Rheinmetall GmbH. From 1995 to 2001, he was a professor of control engineering at the University of Applied Science Lausitz in Senftenberg, Germany, and served as vice president of this university during 1998–2000. He is currently a full professor of control engineering and the head of the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany. His research interests are model-based and data driven fault diagnosis, fault tolerant systems, real-time control, and their application in industry with a focus on automotive systems and chemical processes.

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Liu, S., Jiang, B., Mao, Z. et al. Adaptive Backstepping Based Fault-tolerant Control for High-speed Trains with Actuator Faults. Int. J. Control Autom. Syst. 17, 1408–1420 (2019). https://doi.org/10.1007/s12555-018-0703-8

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