Parametric study of nonlinear adaptive control algorithm with magneto-rheological suspension systems |
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| Institution: | 1. Eaton Corporation, Eaton Innovation Center, 26201 Northwestern Highway, Southfield, MI 48076, United States;2. Advanced Vehicle Dynamics Laboratory, Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24060-0238, United States;3. Lord Corporation, Thomas Lord Research Center, 110 Lord Drive, Cary, NC 27511-7900, United States;1. School of Mechanical Engineering, Southeast University, Nanjing 211189, PR China;2. School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, PR China;3. Department of Mechanical Engineering Hamilton, McMaster University, Ontario, Canada L8S 4L7;4. Department of Engineering, Faculty of Engineering and Science, University of Agder, N-4898 Grimstad, Norway;1. New Industry Creation Hatchery Center (NICHe), Tohoku University, Sendai, Miyagi 980-8577, Japan;2. School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, New South Wales 2522, Australia;3. School of Mechanical, Materials Mechatronic and Biomedical Engineering, University of Wollongong, New South Wales 2522, Australia;4. Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, China;1. University of Perugia, Department of Engineering, Via G. Duranti 93, 06125 Perugia, Italy;2. Ain Shams University, Physics Department, Abbassia, 11566 Cairo, Egypt;3. Roma Tre University, Engineering Department, Via V. Volterra 62, 00146 Rome, Italy;1. Vibration and Control Systems Laboratory, Department of Mechanical Engineering & Robotics, Incheon National University, Incheon 406-772, South Korea;2. Department of Mechanical Engineering, Industrial University of Ho Chi Minh City, Viet Nam;3. Smart Structures and Systems Laboratory, Department of Mechanical Engineering, Inha University, Incheon 402-751, South Korea |
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| Abstract: | This paper describes the details of the simulation analysis of a nonlinear model-based adaptive suspension control system Song X, Ahmadian M, Southward SC, Miller LR. An adaptive semiactive control algorithm for magneto-rheological suspension systems. ASME J Vibr Acoust, in press; Song X. Design of adaptive vibration control systems with application of magneto-rheological dampers. Dissertation, Virginia Tech, December, 1999]. The numerical aspect of the simulation study of a seat suspension with application of magneto-rheological dampers will be presented. Magneto-rheological (MR) dampers have strong nonlinearities such as bi-linearity, hysteresis, and saturation related to magnetism, which can be represented by appropriate mathematic functions, respectively. Thus the model-based adaptive algorithm becomes complicated because of involvement of MR damper models. One objective of this study is to investigate the effect of MR damper model simplifications on the adaptive suspension performance. Furthermore, simulation is also applied to do parametric study of adaptive algorithm parameters such as filtering and step size. The numerical results compare the proposed adaptive controller with passive dampers to validate not only its effectiveness but also obtain some guidance information for its experimental implementation. |
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