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This book comprehensively explores fundamental aspects of adaptive vehicle suspension systems, offering numerous examples for suspension modeling, control, estimation, and fault diagnosis and prognosis methodologies. It is intended for senior undergraduate and graduate students, vehicle R&D departments, and anyone with an interest in the design and control of adaptive or active suspension systems. In order to simplify the understanding of more difficult concepts, the book uses a step-by-step approach along with pictures, graphs, and practical examples.
The book begins with an introduction of vehicle adaptive suspensions, highlighting some common mass-produced products in recent decades. Furthermore, three widely-used mathematical models of adaptive suspension systems are derived. Subsequently, four suspension control algorithms and gain-adaptive approaches are introduced, accompanied by MATLAB/Simulink programming examples for enhanced understanding and practical implementation. Lastly, the fault diagnosis and prognosis of adaptive suspension systems are introduced.
Über den Autor / die Autorin
Yukun Lu
received her Ph.D. in Mechanical and Mechatronics Engineering at the University of Waterloo in 2023. She is now working in the Mechatronic Vehicle Systems Laboratory as a Postdoctoral Fellow/Research Associate. She is currently focusing on Vehicle Dynamics and Control, Intelligent Suspension Systems, (Learning-based) Optimal Control Strategies, and Vehicle Corner Modules. Dr. Lu has cooperated with many OEMs, Tire 1 suppliers, technology startups, and research institutes including General Motors, LoopX, Electrans, Shandong Meichen Group Ltd., and CATARC on various industrial research projects. She has developed various chassis control algorithms for passenger cars, commercial vehicles, and truck cabins. Her research is successively transferred to industry applications, patents, and publications.
