基于改进MOEAD算法的主从式PID控制器参数寻优  

Parameter optimization of master-slave PID controller based on improved MOEAD algorithm

作　　者：胡鹰 吕畅 原嘉辰 Hu Ying;Lyu Chang;Yuan Jiachen(School of Computer Science&Technology,Taiyuan University of Science&Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学计算机科学与技术学院,太原030024

出　　处：《计算机应用研究》2024年第5期1434-1440,共7页Application Research of Computers

基　　金：国家自然科学基金资助项目(52275357,52175354)。

摘　　要：为了有效解决电液伺服系统主从控制结构中主缸和从缸PID控制器的参数设定问题,提出了一种基于多目标优化算法与模型仿真相结合的求解方法。在该求解方法中,将参数设定问题建模为了一个多目标优化问题,其目标空间包括主从同步误差、调节时间、超调量和积分平方误差四个维度,建立了主从结构的PID控制仿真模型,来获取目标空间的目标值。改进了MOEAD算法,通过亲代选择以及子代生成算子选择强化算法子代的多样性,通过个体与权重向量的绑定机制和外部种群对无效权重向量的替换策略对原始算法中的权重向量进行重调整。由改进的MOEAD算法获取了最终的Pareto非支配解集,在最终解集中选取了拐点个体作为控制器的最优参数,提高了主从同步结构的控制品质。To solve the parameter tunning problem of PID controllers in master-slave control structure of electro-hydraulic servo system,this paper proposed a solution method based on multi-objective optimization algorithm combined with model simulation.This method modeled the problem as a multi-objective optimization problem whose target space included four dimensions,namely master-slave synchronization error,settling time,overshoot and integral squared error.And it established the simulation model of master-slave PID control structure to obtain the target value of the target space.Additionally,it improved the MOEAD algorithm by strengthenning the diversity of generated offspring through the selection of parents along with the offspring generate operators and readjusting the weight vector through the substitution strategy of invalid ones using external populations and binding mechanism between weight vectors and individuals.Finally,this method got the final Pareto non-dominated solution set and then selected the knee point individual as the optimal parameter of the controller in the solution set,which improves the control quality of the master-slave synchronization structure.

关 键 词：同步控制 多目标优化 仿真 PID控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]