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线控制动系统主缸液压力滑模控制鲁棒性分析

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针对一种全解耦式线控液压制动系统制动主缸液压力控制过程中,易受系统参数不确定性和外界摄动量等因素的干扰,从而造成制动主缸液压力控制过程中出现振荡、爬行等问题,提出了一种综合考虑系统不利因素影响的主缸液压力全局快速滑模鲁棒控制算法.通过对制动主缸动力学模型的简化,建立了含有干扰项的主缸液压力控制参考模型,并在此基础上设计了鲁棒控制律和主缸液压力滑模控制器;此外,定义了Lyapunov函数对制动压力控制系统滑模到达时间、稳定性和收敛性进行分析.通过MATLAB/Simulink、AMESim联合仿真,对该线控制动主缸液压力控制策略进行验证和评价,结果表明所提出的液压力控制策略具有很好的鲁棒性和稳定性,并能精确跟踪期望压力,且响应迅速.
Robustness Analysis of Sliding Mode Control for Master Cylinder Pressure in Brake-by-Wire System
Aiming at the hydraulic pressure control process of a fully decoupled electro-hydraulic braking system,it is easily dis-turbed by the system parameter uncertainty and external perturbation,which leads to a series of issues such as oscillation and crawling in the hydraulic pressure control process of the braking master cylinder.To solve this problems,a global fast sliding mode robust control algorithm for master cylinder hydraulic pressure is proposed,which considers the adverse factors of the braking sys-tem.By simplifying the kinetics model of master cylinder,a reference model of master cylinder hydraulic pressure control with dis-turbance term is established in this paper.And then,on this basis,a robust control law and a sliding mode controller of master cyl-inder hydraulic pressure are designed.In addition,the arrival time,stability and convergence of the sliding mode of the overall control system are analytically investigated through Lyapunov Theorem.Finally,the accuracy of proposed braking master pres-sure controller strategy was validated and evaluated by co-simulations with MATLAB/Simulink and AMESim.The results show that the proposed hydraulic pressure control strategy has good robustness and stability,which can not only accurately control the hydraulic pressure of the main cylinder,but also has a quick response.

Hydraulic Pressure Control in Master CylinderIntegrated Novel Electro-Hydraulic Brake SystemPa-rameter UncertaintyExternal PerturbationGlobal Fast Sliding Mode Control

朱雪静、钱宇彬

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上海工程技术大学机械与汽车工程学院,上海 201620

主缸液压力控制 集成式新型线控液压制动系统 参数不确定性 外界摄动量 全局快速滑模控制

产品安全召回技术支撑—基于车辆事故深度调查(NAIS)的车辆缺陷分析判定技术应用研究(上海松江)项目

ZL-ZHGL-2020015

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2024.(3)
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