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为获得更贴近实际情况的滑移率变化,在车辆动力学模型加入空气阻力和滚动阻力,应用Matlab2012b/Simulink环境内建立更加接近实际的车辆ABS动力学仿真模型.结合模糊控制与PID控制的优点设计出一种模糊自适应PID控制器.结果表明:模糊自适应PID控制策略来解决汽车ABS的控制优化问题可行,提高了系统的动态性能和安全性能;能适应不同路面的变化;控制过程平稳且可以达到很好的制动效果.
In order to obtain the slip rate change which is closer to the actual situation, the aerodynamic drag and rolling resistance are added to the vehicle dynamics model, and a more realistic simulation model of vehicle ABS dynamics is established by Matlab2012b / Simulink environment. Combining the advantages of fuzzy control and PID control A fuzzy adaptive PID controller is designed.The results show that fuzzy adaptive PID control strategy is feasible to solve the control optimization problem of automobile ABS and improve the dynamic performance and safety performance of the system.It can adapt to the changes of different road surfaces.The control process is stable And can achieve good braking effect.