电机与控制应用2017，Vol.44Issue(4)：43-46,51,5.
基于改进粒子群算法的横动伺服控制系统辨识
Identification of Horizontal Dynamic Servo Control System Based on Improved Particle Swarm Optimization Algorithm
摘要
Abstract
In view of the black box model traverse servo control system,an identification method based on improved particle swarm optimization algorithm was proposed.First,the establishment of a system of fifth order transfer function model.Secondly,based on the particle swarm optimization algorithm,the introduction of a nonlinear concave function as a strategy of inertia weight adjustment,so as to avoid the algorithm in search of falling into the local optimum in the process of optimization,the optimization of the system model.Finally,in order to validate the identification model was correct,comparing simulation and actual measurement experiment.The experimental results showed that:the algorithm model was accurate and reliable,with good control quality,for the same speed input signal,simulation and measurement of the output curve tracking was good,the error in the-0.5～0.2 rad range,the error small.关键词
横动伺服控制系统/粒子群算法/黑箱模型/辨识Key words
traverse servo control system/particle swarm algorithm/black box model/identification分类
信息技术与安全科学引用本文复制引用
曹薇,罗业才..基于改进粒子群算法的横动伺服控制系统辨识[J].电机与控制应用,2017,44(4):43-46,51,5.基金项目
国家重点研发计划项目(2016YFC0104901) （2016YFC0104901）
广东水利电力职业技术学院创新强校工程自主创新能力提升类项目(050117) （050117）
2014年广东省特色创新项目(自然科学类)(2014KTSCX146) （自然科学类）
