摘要
防抱死控制系统(ABS)被用来改善车辆在较滑的路面紧急制动时的控制性能。控制目标是在适当方向增加车轮的驱动力以维持足够的车辆稳定性和转向性以及缩短车辆的制动距离。本文提出了一种ABS优化模糊控制器。目标函数被定义为维持车轮的滑移率在一个理想水平以便获得最大的车轮驱动力和车辆减速度。用遗传算法来优化模糊单元。仿真结果表明该控制器收敛快且在不同路面性能良好。
Anti-lock braking system （ABS） has been developed to improve vehicle control during sudden braking especially on slippery road surfaces. The objective of such control is to increase wheel tractive force in the desired direction so as to maintain adequate vehicle stability and steerability and reduce the vehicle braking distance. In this paper,an optimized fuzzy controller is proposed for antilock braking systems. The objective function is defined to maintain wheel slip in a desired level so that maximum wheel tractive force and maximum vehicle deceleration are obtained. All components of fuzzy system are optimized by using genetic algorithm. The error based global optimization approach is used for fast convergence near optimum point. Simulation results show fast convergence and good performance of the controller for different road conditions.
出处
《拖拉机与农用运输车》
2010年第2期72-75,共4页
Tractor & Farm Transporter
