This book covers complex issues for a vehicle suspension model including non-linearities and uncertainties in a suspension model, network-induced time delays, and sampled-data model from a theoretical point of view. It includes control design methods as neural network supervisory, sliding mode variable structure, and optimal control, internal-model principle, feedback linearization control, input-to-state stabilization, and so forth. Every control method is applied to simulation for comparison and verification.
Features:
- Includes theoretical derivation, proof, and simulation verification combined with suspension models
- Provides the vibration control strategies for sampled-data suspension models
- Focuses on the suspensions with time-delays instead of delay-free
- Covers all the models related to quarter, half, and full-vehicle suspensions
- Details rigorous mathematical derivation process for each theorem supported by MATLAB(R) based simulation
This book is aimed at researchers and graduate students in automotive engineering, vehicle vibration, mechatronics, control systems, applied mechanics, and vehicle dynamics.
About the Author: Haiping Du received the PhD degree from Shanghai Jiao Tong University, Shanghai, China, in 2002. He is a Senior Professor at the School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Australia. He was a Research Fellow with the University of Technology, Sydney, from 2005 to 2009, and was a Postdoctoral Research Associate with Imperial College London from 2004 to 2005 and the University of Hong Kong from 2002 to 2003. He is a Subject Editor of the various journals. His research interests include vibration control, vehicle dynamics and control systems, robust control theory and engineering applications, electric vehicles, robotics and automation, smart materials and structures. He is a recipient of the Australian Endeavour Research Fellowship (2012).
Panshuo Li received her B.S. and M.S. degrees in Mechanical Engineering from Donghua University and Shanghai Jiao Tong University, Shanghai, China, in 2009 and 2012, respectively. She obtained the Ph.D. degree in Mechanical Engineering from University of Hong Kong, Hong Kong, in 2016. She was a Research Associate with the Department of Mechanical Engineering, University of Hong Kong, Hong Kong and the School of Electrical, Mechanical and Mechatronic Systems, University of Technology Sydney, Australia. She is currently a Full Professor with the School of Automation, Guangdong University of Technology, Guangzhou, China, and in the editorial board of Proc. IMechE Part I: Journal of Systems and Control Engineering. Her current research interests include switched systems, time-varying systems, and intelligent vehicle control.
Donghong Ning received a B.E. degree in Agricultural Mechanization and Automation from the College of Mechanical and Electronic Engineering, North West Agriculture and Forestry University, Yangling, China, in 2012 and a PhD degree in 2018 from the University of Wollongong, Australia. He was an Associated Research Fellow at the University of Wollongong. He is currently a Professor at the College of Engineering, Ocean University of China, Qingdao, China. His research interests include active and semi-active vibration control, multiple degrees of freedom vibration control, interconnected suspension, electromagnetic suspension, and marine motion compensation.
