Vehicle Suspension Systems and Electromagnetic Dampers

 This book describes the development of a new analytical, full-vehicle model with nine degrees of freedom, which uses the new modified skyhook strategy (SKDT) to control the full-vehicle vibration problem. The book addresses the incorporation of road bank angle to create a zero steady-state torque requirement when designing the direct tilt control and the dynamic model of the full car model. It also highlights the potential of the SKDT suspension system to improve cornering performance and paves the way for future work on the vehicle's integrated chassis control system. Active tilting technology to improve vehicle cornering is the focus of numerous ongoing research projects, but these don't consider the effect of road bank angle in the control system design or in the dynamic model of the tilting standard passenger vehicles. The non-incorporation of road bank angle creates a non-zero steady state torque requirement.

Dr. Saad Kashem received his Ph.D. from Swinburne University of Technology (SUT), Melbourne, Australia, in 2013. He received his BSc in Electrical and Electronic Engineering from East West University, Dhaka, Bangladesh, in 2009. At present, he is with Faculty of Engineering, Computing and Science in Swinburne University of Technology Sarawakak . Dr. Saad has over six years experience in both industry and academia. His major areas of expertise and research are Vehicle dynamic, Electric vehicle, Renewable Energy Systems, Intelligent and Autonomous Control, Robotics, Nonlinear control theory and applications. He is a Professional Member of Institution of Engineering and Technology, UK (IET), Institute of Electrical and Electronic Engineers (IEEE); IEEE Robotics and Automation Society; and International Association of Engineers (IAENG). He is editor & reviewer of many national & international reputed Journals & Conferences.

Professor Romesh Nagarajah is the Pro

fessor of Mechanical Engineering at Swinburne University of Technology. He has an Honours degree in Mechanical Engineering and Masters and Doctoral degrees in Robotics and Flexible Manufacturing Systems respectively. Professor Nagarajah has over forty years experience in both industry and academia. His current research is in the development of intelligent robot and inspection systems for a variety of applications. Over the last twenty years he has worked in collaboration with several aerospace, automotive and automotive supplier companies in developing smart inspection systems that combine a variety of sensor technologies with artificial intelligence techniques to inspect products and processes. Professor Nagarajah and members of his research group have several international patents. He has been awarded several research grants by the Australian Research Council and various Co-operative Research Centres. Professor Nagarajah is on the editorial board of the International Journal of Advanced Manufacturing Technology and has provided consultancy services to various companies in the automotive, aerospace, defence and food
manufacturing sectors. 

Mehran Ektesabi has completed his Bachelor degree (1982), his Master degree (1984) and his Ph.D. (1989) all in Electrical Engineering. He has more than 30 years experience in design & development of control and drive systems. He has two international patents in the field of Motor Control and winner of many national & international awards. At present, he is with Faculty of Engineering and Industrial Sciences, in Swinburne University of Technology, Australia. He is an active member of IEEE, founder Chair of IEEE Vehicular Technology Society (VTS) Victorian Chapter and Consular of IEEE branch in Swinburne. He is executive editor, editor & reviewer of many national & international reputed Journals & Conferences. His major areas of expertise and research are Power Electronics, Electric Motor Control Systems, Power Quality Controllers, Energy Saving and Compatibility, Renewable Energy Systems, Intelligent and Autonomous Control, Soft Computing Adaptive Control and System Identification.