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基于史密斯模糊控制的汽车制动系统 被引量:2

Research on automobile braking system based on Smith fuzzy control
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摘要 针对传统汽车制动系统控制过程中存在的纯滞后环节的问题,采用史密斯预估控制理论的思想,设计汽车制动控制系统中的反馈环节,消除闭环传递特征方程中的时滞因子,达到汽车快速制动的效果。该方法主要结合系统动态响应的评估结果设计补偿环节,超前地将预估的被控量补偿到控制输入端,从而消除系统时滞。通过引入模糊PID控制理论建立汽车的车辆模型,降低史密斯控制理论对精确系统模型的依赖。实验表明,引入史密斯模糊自整定PID控制后,系统的输出响应速度加快,超调量减少,振荡幅度减小,而汽车制动所需时间缩短。 In view of the problem that the dead time existed in the control process of traditional automobile braking system, based on the theory of Smith predictive control, the feedback link in the automobile braking control system was designed to eliminate the dead time factor in the closed-loop transfer characteristic equation and achieve the effect of rapid braking. This method mainly combined the evaluation results of system dynamic response to design the compensation link, in advance of the estimated controlled quantity compensation to the control input, so as to eliminate the system time delay. By introducing the fuzzy PID control theory to build the vehicle model, the dependence of Smith control theory on the accurate system model was reduced. The experiment showed that the output response speed, overshoot and oscillation amplitude were reduced, and the braking time was shortened.
作者 赵从健 雷菊阳 李明明 Zhao Congjian;Lei Juyang;Li Mingming(Shanghai University of Engineering Science, College of Mechanical and Automotive Engineering, Shanghai 201620, China)
出处 《计算机时代》 2019年第9期16-19,共4页 Computer Era
基金 上海工程技术大学研究生科研创新项目(E3-0903-18-01007)
关键词 汽车制动 史密斯预估控制 模糊控制 PID控制 automobile braking Smith predictive controls fuzzy control PID control
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