基于遗传算法的电液伺服加载系统控制器优化  

Optimization Design Based on Genetic Algorithm for Controller of Electro-hydraulic Servo Loading System

作　　者：张浩宇[1] 赵东标[1] 朱莹[2] 肖息[2] 

机构地区：[1]南京航空航天大学机电学院,江苏南京210016 [2]南京机电液压工程研究中心航空机电系统综合航空科技重点实验室,江苏南京211100

出　　处：《机械工程与自动化》2016年第4期83-85,共3页Mechanical Engineering & Automation

摘　　要：电液伺服加载系统是以阀控液压缸作为执行机构的力伺服系统,其控制器参数的选取直接影响电液伺服加载系统的性能。建立了电液伺服加载系统AMESim仿真模型,对系统阶跃响应进行研究,分析了控制器参数对系统动态特性的影响。构造了优化电液伺服加载系统控制器参数的目标函数,运用遗传算法对系统控制器参数进行优化设计。仿真结果表明:利用经遗传算法优化后的控制器参数,大大提高了电液伺服加载系统的响应速度和控制精度。The electro-hydraulic servo loading system is a force servo system in which hydraulic cylinder is used as the actuator.The controller parameters directly determines the performance of the electro-hydraulic servo system.The AMESim simulation model of the electro-hydraulic servo loading system is established,and the step response of the system is studied.The effect of controller parameters on the dynamic characteristics of the system is analyzed.The objective function is constructed to optimize the controller of electro hydraulic servo system.Genetic algorithm is used to optimize the parameters of the controller.The simulation results show that the controller parameters are optimized by genetic algorithm,which greatly improves the response speed and the control precision of the electro-hydraulic servo loading system.

关 键 词：电液伺服 遗传算法 PID控制 AMESIM 优化 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术] V27[自动化与计算机技术—计算机科学与技术]