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Semi Active Vibration Control of an Eleven Degree of Freedom Passenger Car Using Magnetorheological Shock Absorbers

Zareh, Hamid | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 41522 (58)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Khayyat, Amir Ali Akbar
  7. Abstract:
  8. This thesis is presented to introduce a semi-active control of the suspension systems. The currently available semi-active damper technologies can be divided into two main groups. The first uses controllable electromagnetic valves and the second uses Magnetorheological (MR) fluid to control the damping characteristics of the system. A mass-spring model with eleven degrees of freedom, considering constant velocity for the car, is developed to model the suspension system. A semi-active vibration control system is presented to reduce the amplitude of automotive vibrations caused by the alteration of the road profile. The gravel road profile with Gaussian white noise as the road irregularity disturbance is simulated. In order to arrive at a suitable response to increase the handling quality and ride comfort, two strategies are examined. First, an optimal control algorithm, including Linear Quadratic Regulator (LQR) and Linear Quadratic Gaussian (LQG), is used to control the system; secondly, due to the inherent nonlinear nature of the MR damper, the Neuro-Fuzzy algorithm is employed to control the amplitude of vibration within a certain range. The main goal of this thesis is to employ and combine the existing knowledge of the semi-active systems together with the new and novel ideas such as Neuro-Fuzzy control to develop a semi-active suspension system. It is shown that applying the present control algorithms significantly reduces the vibration of the passenger car; thus, providing ride comfort and better road handling and stability
  9. Keywords:
  10. Suspension System ; Neuro-Fuzzy Controller ; Magnetorheological Damper ; Semiactive Control ; Full Car ; Clipped Optimal Control Algorithm

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