遗传算法在恒张力控制系统中的应用  

Application of Genetic Algorithm In Constant Tension Control System

作　　者：胡晓锐[1] 骆艳洁[1] 麦云飞[1] 

机构地区：[1]上海理工大学机械工程学院,上海200093

出　　处：《电子科技》2017年第4期72-75,共4页Electronic Science and Technology

摘　　要：文中以锂离子电池卷绕机的隔膜张力系统为研究对象,分析隔膜张力控制系统的力学模型,认为该系统是一个非线性的时变系统。针对卷绕速度的变化引起张力波动的问题,运用遗传算法对PID控制参数进行自动寻优,并在Matlab中对控制系统进行仿真。试验结果表明,控制系统的响应速度提高50%,且未出现超调。Diaphragm tension system of the lithium-ion battery winder as the research object,analyzed it’s mechanical model and concluded that the system is a nonlinear time variable system; according to the fluctuating tension of the system caused by the change of the winding speed,using genetic algorithm to automatically complete the optimization of PID control’s parameters,and using Matlab to simulate the control system’s response. Test results show that the response’s speed of the control system increased 50% and without overshoot.

关 键 词：张力系统 PID控制 遗传算法 MATLAB 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]