改进蚁群算法的阀控液压缸模糊PID参数优化  

Fuzzy PID Parameter Optimization of Valve Controlled Hydraulic Cylinder Based on Improved ant Colony Algorithm

作　　者：李杨[1] 李岩舟[1] LI Yang;LI Yan-zhou(College of Mechanical Engineering,Guangxi University,Guangxi Nanning 530004,China)

机构地区：[1]广西大学机械工程学院,广西南宁530004

出　　处：《机械设计与制造》2018年第7期143-146,150,共5页Machinery Design & Manufacture

基　　金：国家级创新训练项目(201510593021)

摘　　要：阀控摆动液压缸工作时需要协调快、稳定性强的特点,但现有的控制系统还缺少针对性的研究方法,存在着隶属度函数参数不确定、Fuzzy规则库和隶属函数无法更新,缺乏自适应性以及精度不高等问题。针对上述问题利用改进后的蚁群算法对阀控摆动液压缸模糊PID的误差变化e、误差变化率ec、比例△Kp、积分△Ki、微分△Kd五个参数进行优化,确定出合适的伸缩因子,通过仿真和实验实现对其模糊PID控制器的完善,达到预期的控制效果。实验证明:改进后的蚁群算法优化后的模糊PID控制系统其相对误差明显减小,对于恒定转速,其误差在5.48%,对于线性转速,其误差在6.52%。Valve control swing hydraulic cylinder need to coordinate fast,strong stability cha-racteristics,but its control system is still lack of research methods,and has many questions,such as uncertain membership function parameters,Immutable Fuzzy rule base and mem-bership function,poor adaptability and accuracy,fuzzy rule base and membership function can not be updated,lack of self adaptability and high precision.In this paper,according to the above problem using improved ant colony algorithm for fuzzy PID error‘e＇and error change ra-tes of‘ec＇,‘△Kp＇,‘△Ki＇,‘△Kd＇of five parameters optimization,determine the appropriate scali-ng factors,and the appropriate implementation by simulation and experiment on the improvement of the fuzzy PID controller,and finally achieve the expected control effect.Experimental results show that after the improved ant colony algorithm to optimize the fuzzy PID control system,and its relative error obviously reduced for constant speed,the error in 5.48%,for the linear speed,the error in 6.52%.

关 键 词：改进蚁群算法 比例阀 摆动液压缸 模糊PID控制系统 参数优化 

分 类 号：TH16[机械工程—机械制造及自动化]