基于改进单神经元PID控制的主动悬架系统研究  

The Analysis of Active Suspension System Based on the Improved Single Neuron PID Control

作　　者：王振臣[1] 赵莎[1] 张聪[1] 程菊[1] 

机构地区：[1]燕山大学西校区电院工业计算机控制工程河北省重点实验室,河北秦皇岛066004

出　　处：《模糊系统与数学》2014年第3期89-96,共8页Fuzzy Systems and Mathematics

摘　　要：汽车悬架是车身与车轮之间的传力连接装置。运用MATLAB/Simulink建立仿真模型,应用模糊理论在线调整比例系数改进单神经元PID控制并设计控制器,进行三种工况下的仿真验证。结果表明:控制策略可行且控制器有较强的鲁棒性,进一步改善了汽车行驶的平顺性。Vehicle suspension is a connected device for transfer force between the body and the wheels.The simulation models were built by MATLAB/Simulink. Based on fuzzy control principle, the single neuron PID control was improved. An improved single neuron PID controller was designed to simulate in three operating conditions. The simulation results show that the control strategies are feasible; the controller with good robustness can effectively improve the ride comfort of vehicle.

关 键 词：主动悬架 单神经元PID控制 模糊理论 增益调节 

分 类 号：U461[机械工程—车辆工程]