机械科学与技术2025，Vol.44Issue(3)：421-429,9.DOI:10.13433/j.cnki.1003-8728.20230213
E-booster电液制动系统的主缸压力控制
Research on Pressure Control of Master Cylinder for E-booster Electro-hydraulic Braking System
摘要
Abstract
E-booster electro-hydraulic brake system has the characteristics of adjustable power source and stable transmission torque,but the hydraulic model has some problems of reaction lag and nonlinear friction,which affect the hydraulic pressure control accuracy of the brake master cylinder.The radial based function(RBF)neural network feedforward controller+pressure-displacement-speed three-loop Proportional Integral(PI)control method is proposed in this paper,which can realize the precise control of the hydraulic pressure of the brake master cylinder.The expected hydraulic pressure is used as the input of the system to get the theoretical push rod displacement to control the rotation angle and torque of the motor.The output torque of the motor drives the mechanical transmission mechanism to push the push rod of the master cylinder to output the hydraulic pressure,and then the actual pressure value,the actual displacement value of the push rod and the actual output speed value of the motor are fed back to the expected value to realize the three-loop PI controller.To improve the accuracy of pressure control,RBF neural network is used as feedforward controller to add a compensation gain to pressure control according to the inverse model of hydraulic cylinder.Compared with the traditional series PI controller,the PI controller with feedforward RBF neural network proposed reduces the pressure error of the master cylinder by about 50％,shortens the response time by 100 ms.This effectively solves the interference of nonlinear friction of the hydraulic model.关键词
E-booster电液制动系统/制动主缸压力控制/三闭环PI控制/RBF神经网络前馈控制Key words
E-booster electro-hydraulic braking system/master cylinder pressure control/three-closed-loop PI controller/RBF neural network feedforward controller分类
金属材料引用本文复制引用
孟佑铭,张缓缓,常笑宇,胡胜利..E-booster电液制动系统的主缸压力控制[J].机械科学与技术,2025,44(3):421-429,9.基金项目
国家自然科学基金项目(51705306) （51705306）
