应用遗传算法优化压延机温控系统的PID控制方法  

PID Control Method of Calender Temperature Control System Optimized by Genetic Algorithm

作　　者：周经龙 陈均[1] 宋来建 ZHOU Jing-long;CHEN Jun;SONG Lai-jian(Chongqing Creation Vocational College,Chongqing 402160,China)

机构地区：[1]重庆科创职业学院,重庆402160

出　　处：《塑料科技》2020年第10期115-118,共4页Plastics Science and Technology

基　　金：项目名称:重庆科创职业学院课题(19KC10)。

摘　　要：常规PID控制器用于时变非线性的压延机温控时具有控制精度低、动态性能差的缺点。为了改善常规PID控制器的控制效果,通过遗传算法搜索全局最优的PID控制参数,在线实时调整PID控制参数获得压延机温控系统的高控制性能。同时,引入因子α作为控制器中衡量超调量和上升时间的权重,通过调节权重α的大小可以自由地对系统超调量和上升时间两个性能指标进行控制,以达到理想的控制效果。温控实验结果表明,所提遗传算法优化的PID控制器具有优秀的动态性能和高控制精度。The conventional PID controller has low control accuracy and poor dynamic performance for the temperature control of the calender with time-varying nonlinearity.In order to improve the control effect of conventional PID control,the global optimal PID control parameters are searched through genetic algorithm,and the PID control parameters are adjusted online in real time to obtain high control performance of the calender temperature control system.At the same time,the factor is introduced as the weight to measure the overshoot and rise time in the controller,and the two performance indicators of the system overshoot and rise time can be controlled freely by adjusting the size of the weight to achieve the ideal control effect.The temperature control experiment was carried out with a three-roll calender.The results show that the PID controller optimized by the genetic algorithm has excellent dynamic performance and high control accuracy.

关 键 词：遗传算法 压延成型 温度控制 PID 

分 类 号：TP273+.2[自动化与计算机技术—检测技术与自动化装置]