Study Of Adaptive Control Algorithm Using Hysteretic Magneto-rheological Damper Model In 1/4 Car Suspension

摘要

This paper presents a study of the semiactive adaptive control algorithm through numerical simulation where the adaptive control is compared to the widely used skyhook control and passive suspension. A hysteretic magneto-rheological (MR) damper model is developed so that sensitivity of the system variables with respect to the control variable can be evaluated for the purpose of employing the adaptive control algorithm based on the gradient search method. This study includes discussions of the MR damper model setup, a 1/4 car suspension model setup, dynamic analysis approach and tuning of the controllers parameters as well as passive damping. The dynamic analysis is performed in the time domain using sine sweep excitation without the need to linearize such a nonlinear semiactive system. Through simulations, the effectiveness of both controllers and passive suspension is demonstrated for vibration isolation. Effectiveness of all setups under high frequency random excitation for why the suspension is not optimally tuned is demonstrated to study adaptability of the setups under different driving conditions.