电控空气悬架系统参数自整定模糊PID控制  

Fuzzy Parameter Self-Tuning PID Control of Electronically-Controlled Air Suspension System

作　　者：曹恺[1] 王韦韦[1] 陈黎卿[1] 董威望 

机构地区：[1]安徽农业大学工学院,安徽合肥230036 [2]佳通轮胎(中国)投资有限公司技术研发部,安徽合肥230601

出　　处：《山东交通学院学报》2017年第2期1-8,共8页Journal of Shandong Jiaotong University

基　　金：安徽省高校自然科学重点项目(KJ2015A305);安徽省自然科学基金(1308085QE94)

摘　　要：提出电控空气悬架(Electronically Controlled Air Suspension,ECAS)的参数自整定模糊PID控制策略,设计参数自整定模糊PID控制器。利用AMESim软件建立1/4电控空气悬架系统模型,采用Matlab/Simulink和AMESim在不同路面、不同车速下对空气悬架系统分别进行PID控制与参数自整定模糊PID控制策略下的联合仿真。仿真结果表明:与PID控制仿真比较,采用参数自整定模糊PID控制策略使电控空气悬架的性能指标得到显著改善。搭建1/4电控空气悬架试验台,利用电液伺服激振台进行激励加载,完成硬件在环实时仿真测试,试验结果证明采用参数自整定模糊PID控制能有效提高悬架的总体性能。This article presents the fuzzy parameter self-tuning PID control strategy of the electronically- controlled air suspension system （ECAS） to design the fuzzy parameter self-tuning PID controller. The AMESim software is used to establish the model of 1/4 ECAS system. Under different road and speed conditions, the Matlab/simulink and AMESim are used to make the co-simulation for the air suspension system in the strategies of the PID control and the fuzzy parameter self-tuning PID control. The simulation results show that the simulation in the fuzzy parameter self-tuning PID control strategy makes the performance indexes of the ECAS significantly improved compared with the PID control simulation. A test rig of 1/4 ECAS vehicle is developed to conduct the excitation loading through the electro-hydraulic servo vibration table and the hardware-in-the-loop （HIL） real-time simulation test. The test results verify that the fuzzy parameter self-tuning PID control can improve the overall performance of the suspension system effectively.

关 键 词：ECAS 联合仿真 硬件在环 参数自整定模糊PID控制 

分 类 号：U463.33[机械工程—车辆工程]