Fault-Tolerant Cooperative Control of Unmanned Aerial Vehicles
Description
This book focuses on the fault-tolerant cooperative control (FTCC) of multiple unmanned aerial vehicles (multi-UAVs). It provides systematic and comprehensive descriptions of FTCC issues in multi-UAVs concerning faults, external disturbances, strongly unknown nonlinearities, and input saturation. Further, it addresses FTCC design from longitudinal motions to attitude motions, and outer-loop position motions of multi-UAVs. The book's detailed control schemes can be used to enhance the flight safety of multi-UAVs.
As such, the book offers readers an in-depth understanding of UAV safety in cooperative/formation flight and corresponding design methods. The FTCC methods presented here can also provide guidelines for engineers to improve the safety of aerospace engineering systems. The book offers a valuable asset for scientists and researchers, aerospace engineers, control engineers, lecturers and teachers, and graduates and undergraduates in the system and control community, especially those working in the field of UAV cooperation and multi-agent systems.
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Persons
Dr. Ziquan Yu received the PhD degree in control science and engineering from Northwestern Polytechnical University, Xi'an, China, in 2019. From 2017 to 2019, he was a Joint PhD student supported by the China Scholarship Council with the Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Quebec, Canada. He is currently with the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His current research interests include fault-tolerant control of safety-critical systems, and guidance, navigation, and control of unmanned flight vehicles.
Prof. Youmin Zhang received the BS, MS, and PhD degrees in automatic control from Northwestern Polytechnical University, Xi'an, China, in 1983, 1986, and 1995, respectively. He is currently a professor with the Department of Mechanical, Industrial and Aerospace Engineering and Concordia Institute of Aerospace Design and Innovation (CIADI), Concordia University, Montreal, Quebec, Canada. His current research interests include guidance, navigation and control, remote sensing, fault diagnosis, and fault-tolerant control for applications to single and multiple unmanned aerial/space/ground/marine vehicles, renewable energies, smart grids, smart cities, and cyber-physical systems. Prof. Bin Jiang received the PhD degree in automatic control from Northeastern University, Shenyang, China, in 1995. He has been a post-doctoral fellow or a research fellow in Singapore, France, and USA, and a visiting professor in Canada. He is currently the chair professor of the Cheung Kong Scholar Program, Ministry of Education, and the vice president of the Nanjing University of Aeronautics and Astronautics, Nanjing, China. His current research interests include fault diagnosis and fault-tolerant control and their applications.Prof. Chun-Yi Su received the PhD degree in control engineering from the South China University of Technology, Guangzhou, China, in 1990. He was with the University of Victoria, Victoria, BC, Canada. In 1998, he joined Concordia University, Montreal, QC, Canada. His current research interests include the application of automatic control theory to mechanical systems, especially the control of systems involving hysteresis nonlinearities.
Content
Chapter 1. Introduction.- Chapter 2. Fixed-Wing UAV Model.- Chapter 3. Distributed FTCC of Multi-UAVs With Prescribed Performance.- Chapter 4. Distributed FTCC of Multi-UAVs Under Actuator Fault and Input Saturation.- Chapter 5. Distributed FTCC of Multi-UAVs With Multiple Leader UAVs.- Chapter 6. Distributed Finite-Time FTCC of Multi-UAVs With Multiple Leader UAVs.- Chapter 7. Decentralized Finite-Time Attitude FTCC of Multi-UAVs With Prescribed Performance.- Chapter 8. Decentralized Attitude FTCC of Multi-UAVs Under Directed Communication Topology.- Chapter 9. Decentralized FTCC of Multi-UAVs for Cooperative Forest Fire Monitoring.- Chapter 10. Conclusions and Future Directions.