Enhancing vehicle ride comfort through intelligent based control

F. Yakub, P. Muhamad, H. T. Toh, N. Fawazi, S. Sarip, Mohamed Sukri Mat Ali, S. A. Zaki
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引用次数: 9

Abstract

The research presented in this paper is carried out to investigate the performance of a suspension systems either an active or passive type. Controllers that are used in this study are proposed fuzzy logic controller and proportional integral derivative controller as a benchmarking comparison. The simulations in this research have been carried out using Simulink of MATLAB. The parameters in the simulation model for the suspension system under study include car body mass, wheel mass, spring and damping elements of shock absorber, and tire. The block model of the suspension system has been designed to represent the equation of motion of the sedan car suspension system. The road disturbance for the active suspension system is modelled in two different ways, namely, unit step input signal and sine wave input signal. The simulation results indicate that fuzzy logic control of an active car suspension system has better performance compared to the passive system.
通过智能控制增强车辆乘坐舒适性
本文提出的研究是为了研究主动或被动悬架系统的性能。本文提出了模糊逻辑控制器和比例积分导数控制器作为基准比较。本研究采用MATLAB中的Simulink进行仿真。所研究的悬架系统仿真模型中的参数包括车身质量、车轮质量、减振器弹簧和阻尼元件以及轮胎。为了表示轿车悬架系统的运动方程,设计了悬架系统的块体模型。采用单位阶跃输入信号和正弦波输入信号两种不同的方式对主动悬架系统的路面扰动进行建模。仿真结果表明,模糊逻辑控制对汽车主动悬架系统具有较好的控制效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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