Abstract
An improved half-vehicle model has been proposed for active suspension control systems, in contrast to existing models, it allows to explore the nature of the effect of vehicle speed changes by introducing a state vector of vehicle pitch angle. Three control strategies of linear quadratic control (LQ), improved LQ (ILQ) and wheelbase preview LQ (WLQ) have been implemented into the proposed model. ILQ has integrated an additional control parameter into LQ by concerning the correlation between acceleration values and their corresponding pitch angles. Simulation results have showed the effectiveness of the proposed model in terms of LQ, ILQ and WLQ control strategies.
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Jiang-Tao Cao received his B.Sc. and M.Sc. degrees from Liaoning University of Petroleum and Chemical Technology, Fushun, China in 2000 and 2003, respectively. He is currently pursuing his Ph.D. degree in the international collaboration programme of University of Portsmouth and Northwestern Polytechnical University
His research interests include active suspension control, artificial intelligence, qualitative reasoning, fuzzy control theory and applications.
Hong-Hai Liu received his Ph.D. degree in robotics from King’s College London, UK, in 2003. He joined the University of Portsmouth, UK in September 2005. He previously held research appointments at Universities of London and Aberdeen, U.K.
Dr. Liu has published over 70 research papers. His research interests include computational intelligence methods, applications including robot motion modeling, active suspension control and human motion analysis.
Ping Li received his B.Sc. and M.Sc. degrees from Northwestern Polytechnical University, Xi’an, China in 1984 and 1987, respectively. He received his Ph.D. in automatic control from Zhejiang University, Hangzhou, China in 1995. He is currently a professor at Liaoning University of Petroleum and Chemical Technology, an adjunct professor at Northwestern Polytechnical University, and a visiting professor at the University of Portsmouth.
He has published over 100 papers, successfully completed over 20 research projects supported by national and ministry funds and won more than 10 awards of nation and ministry. His research interests include process control and automation, especially the advanced control and optimization of chemical industry process control systems.
David J. Brown received his Ph.D. degree in motion control from Southampton University, Southampton, UK, in 1985. He came back to academia after spending about 20 years in industry.
He has published numerous refereed journal and conference papers in artificial intelligence area. He won engineering excellence prize from Royal Academy of Engineering in 2004. His research interests include artificial intelligence and their applications to intelligent systems.
Georgi Dimirovski received his Ph.D. degree in Control Engineering from University of Bradford, UK, in 1977. Currently, he is a professor of automation and systems engineering at SS Cyril and Methodius University, Skopje, Republic of Macedonia, and professor of computer science and information technologies at Dogus University, Istanbul, Turkey.
He has published over 200 refereed book chapters, journal and conference papers. His research interests include advanced modeling techniques, fault diagnosis, advanced control theory and applications.
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Cao, JT., Liu, HH., Li, P. et al. A study of electric vehicle suspension control system based on an improved half-vehicle model. Int J Automat Comput 4, 236–242 (2007). https://doi.org/10.1007/s11633-007-0236-8
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DOI: https://doi.org/10.1007/s11633-007-0236-8