Fault Diagnosis and Adaptive Fault-Tolerant Control of High-Speed Train
Description
High-speed train with its reliable, fast and high loading capacities, has attracted more and more attention in the recent years. With the increasing requirements of the speed and safety of the train operation, a lot of efforts has been devoted to the control design for high-speed trains. Similar to the other complex systems, high-speed train formed by the sensors, motors, electrical components, mechanical drives and so on, will have failures with the long time (distance) operation, which could lead to the delay and even stop of the train. Regarded as the heart of the high-speed train, the traction system provides traction power for the entire system. The faults in the traction system may appear in different locations, such as motor, converters, control units, sensors, and so on. These faults can affect the effectiveness of traction force, and result in reduction of speed or may even stop the train. Thus, it is critical to study fault diagnosis and fault-tolerant control problem for high-speed train traction systems.
This monograph presents a systematic and comprehensive description of the problems of fault diagnosis and fault-tolerant control of high-speed train traction systems in the presence of faults, external disturbances, and unknown uncertainties. It offers readers with a deep understanding and insight into the safety of high-speed train traction systems, suspension systems and the corresponding design methods. The fault diagnosis and fault-tolerant control methods presented in this book can provide guidance to engineers to improve safety in rail transportation and other related fields. This book is suitable for scientists and researchers in the field of systems and controls, railway transportation engineers, control engineers, lecturers and teachers, graduate students, undergraduate students, and especially those working in the field of high-speed train system control.
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Persons
Zehui Mao (Senior Member, IEEE) is currently a Professor with the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics. She has authored over 70 referred international journal articles. She worked in the areas of fault diagnosis and fault-tolerant control, with particular interests in nonlinear control systems, multiagent systems, and spacecraft flight control applications. She currently serves as an Associate Editor for IEEE Transactions on Industrial Informatics and Neurocomputing.
Yunkai Wu was born in Jiangsu, China, in 1989. He received the Ph.D. degree from the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2017. He was an Academic Visitor with The University of Adelaide, Adelaide, SA, Australia. He is currently an Associate Professor with the College of Automation, Jiangsu University of Science and Technology, Zhenjiang. His current research interests include incipient fault detection, diagnosis, prognosis of high-speed trains, and autonomous underwater vehicles.
Shangkun Liu is currently a Lecturer with the College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China. His current research interests include fault diagnosis and fault-tolerant control of multi-agent systems and their applications.
Bin Jiang (Fellow, IEEE) is currently the President of the Nanjing University of Aeronautics and Astronautics, Nanjing, China, and a Chair Professor of the Cheung Kong Scholar Program with the Ministry of Education. He has authored eight books and over 100 referred international journal articles. His current research interests include intelligent fault diagnosis, fault-tolerant control, and their applications to helicopters, satellites, and high-speed trains. Dr. Jiang was a recipient of the National Natural Science Award of China. He currently serves as a Senior Editor for International Journal of Control, Automation and Systems, and an Associate Editor or an Editorial Board Member for a number of journals, such as the IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Transactions on Industrial Informatics. He is a Fellow of the Asia-Pacific Artificial Intelligence Association and the Chinese Association of Automation, the Chair of Control Systems Chapter in IEEE Nanjing Section, the President of Nanjing Branch of AAIA, and a member of IFAC Technical Committee on Fault Detection, Supervision, and Safety of Technical Processes.
Xing-gang Yan is currently a Senior Lecturer of Control Engineering with the University of Kent, Canterbury, U.K. He has published three books, six invited book chapters, and over 200 refereed papers in the area of control engineering. His research interests include sliding mode control and decentralized control with applications in engineering systems. Dr. Yan received the Best Application Paper Award of the Asian Control Conference, Fukuoka, Japan, in 2019. He received the Best Application Paper Award of the Asian Control Conference, Fukuoka, Japan, in 2019. He is an Associate Editor of IET Control Theory & Applications, Complexity, and Energies. He serves as a TPC member for a number of international conferences.
Content
Chapter 1 Introduction.- Chapter 2 High-Speed Train Traction Systems Model.- Chapter 3 Sensor Fault Detection for Suspension Systems.-Chapter 4 Deep PCA and Kullback-Leibler Divergence Based Fault Detection.- Chapter 5 Incipient Fault Detection and Isolation for Suspension Systems.- Chapter 6 Adaptive Compensation of Traction System Actuator Failures.- Chapter 7 Adaptive Actuator Compensation of Position Tracking.- Chapter 8 Adaptive Backstepping Based Fault-tolerant Control.- Chapter 9 Adaptive Fault-Tolerant Sliding-Mode Control.- Chapter 10 Conclusions and Future Directions.