توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Nonlinear controller design for semi–active suspension system using a prediction approach
نویسنده(ها): ، ،
اطلاعات انتشار: دومین کنفرانس بین المللی آکوستیک و ارتعاشات، سال
تعداد صفحات: ۸
Magneto–rheological (MR) dampers are semi–active devices in vehicle suspension systems that pro–duce controllable forces dependent on the input current to the damper as well as the relative velocity of the sprung mass. In this paper, by the response prediction of nonlinear quarter–car model which in–cludes a nonlinear MR damper dynamics, a new optimal tracking controller is analytically designed for the semi–active suspension system. In order to develop a more accurate control law, a realistic nonlinear model of the spring force is also employed in the design model. In the proposed scheme, the control input is the input current to the MR damper and is determined by minimizing a pointwise per–formance index defined as a weighted combination of ride quality and control energy. Optimal prop–erty of the control law provides the possibility of limiting the input current to the MR damper, as the control input, to the physically admissible range. The performed analysis and the simulation results indicate that the proposed non–linear controller can improve the vehicle ride comfort using the re–duced input current to the MR damper without deteriorating the handling performance.<\div>

۲Adaptive fuzzy controller design to improve the performance of ABS in the presence of suspension system effects
اطلاعات انتشار: اولین همایش ملی مهندسی برق ایران، سال
تعداد صفحات: ۸
In this paper, an adaptive fuzzy controller is synthesized to improve the anti–lock braking system (ABS) performance in the presence of suspension systemeffects. The ABS performance in generating the maximum braking force is mainly affected by the tire normal force applied the suspension system. In thisstudy, an optimization is carried out to obtain the optimal value of longitudinal slip reference value corresponding to the suspension normal force andvehicle speed. The slip optimal value is then imported as the reference input of the fuzzy controller. In this manner, the fuzzy controller is adapted to the tirenormal force, suspension deflection and vehicle speed. Therefore, this controller is aimed at tracking the slip optimal value which is updated by on–line data from suspension system and braking system states. In this study, two quarter car models are used to simulate the ABS and suspension systems behavior.The first being a quarter car suspension model with two degrees of freedom which describes the sprung and unsprung mass vertical dynamic and the latter a quarter car braking model with two degrees of freedom which describe the braking dynamics (vehicle longitudinal dynamic). Simulation of this study is derived during hard braking on a poor quality white noise road. The stopping distance is compared in the cases of fuzzy and adaptive fuzzy ABS control situations while a passive suspension is employed. The results show that the adaptive fuzzy control strategy can be helpful to increase the ABS controller performance so that it decreases the stopping distance in the semi–real situation.<\div>
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