基于MAP的汽车电控制动系统变工况控制研究

摘要

In order to improve the real-time control precision of the automobile Electronic Control Braking System (ECBS) in different load conditions,we proposed the online self-optimization method of ECBS control parameters based on MAP in this research.Firstly,we established a hydraulic braking system model based on component characterstics and ECBS controller,and conducted step brake tests at different speeds.The Simulated Annealing Particle Swarm Optimization (SAPSO) method was utilized to identify the optimal PID control parameters in each condition.Then the MAP was obtained.Thus,during braking,the control parameters could be obtained by online searching the MAP according to the speed and the brake pedal force.The simulation and real vehicle test results indicated that the ECBS system based on MAP could shorten the braking distance,and effectively improve directional stability.%为提高汽车电控制动系统(ECBS)在变工况条件下的实时控制精度,提出了基于MAP图的ECBS控制参数自寻优方法.首先建立基于部件特性的液压制动系统模型和ECBS控制器,在不同的车速下进行制动阶跃试验,应用模拟退火粒子群算法(SAPSO)自寻各工况下最优的PID控制参数,形成MAP图,车辆可根据实际车速和制动踏板力在线查MAP图获得控制参数.仿真和实车试验结果表明,基于MAP图的ECBS系统可有效缩短制动距离并改善制动时的方向稳定性.