سال انتشار: ۱۳۹۱

محل انتشار: بیستمین کنفرانس سالانه مهندسی مکانیک

تعداد صفحات: ۴

نویسنده(ها):

Masih Sharifi – Department of Mechanical Engineering, University of Guilan
Javad Rezapur – Department of Mechanical Engineering, Lahijan branch, Islamic Azad University
Behrooz Shahriari – 3Department of Mechanical and Aerospace Engineering, Malek Ashtar University of Technology

چکیده:

In this paper, Sliding Mode Controller (SMC) is designed for a quarter-car active suspension system with parametric uncertainty in the mass of vehicle body and also Genetic Algorithms are employed to find optimal parameters of controller. An ideal suspension must be able to provide passengers comfort and improve safety performance. Furthermore, the necessity of trading off among the conflicting requirements of the suspensions in terms of comfort and road holding capability led to the use of multi- objective optimization techniques. The important conflicting objective functions that have been considered in this work are, namely, sprung mass acceleration, suspension deflection and energy consumption. Moreover, this approach returns the optimum answers in Pareto form that designer can, by making trade-offs, select desired answer. Finally, theobtained results demonstrate that use of the proposed controller provides good performance in improving and enhancing the road holding ability and riding quality compared with passive suspension system