基于粒子群优化算法的多线切割机恒张力免疫反馈控制仿真研究  

Research on Simulation of Constant Tension Immune Feedback Control System for Multi-wire Saw Based on Particle Swarm Optimization Algorithm

作　　者：林君焕[1] 林海波[2] LIN Junhuan;LIN Haibo(Department of Sino-Germany,Taizhou Vocational Technical College,Taizhou 318000,China;Department of Mechanical and Electrical Engineering,Taizhou Vocational Technical College,Taizhou 318000,China)

机构地区：[1]台州职业技术学院中德学院,浙江台州318000 [2]台州职业技术学院机电学院,浙江台州318000

出　　处：《系统仿真技术》2020年第2期85-89,共5页System Simulation Technology

基　　金：浙江省公益技术研究计划资助项目(LGG20E050005);台州市科技计划项目(1501KY61);台州市科技计划项目(1901gy23);浙江省教育厅一般科研项目(Y201738147)。

摘　　要：研究了免疫系统的应答响应机理,基于应答机理,提出一种免疫反馈控制器,建立多线切割机恒张力控制模型,以粒子群算法作为控制器参数优化的方法,在Matlab环境下对控制器参数进行优化,结果表明,参数优化后的免疫控制器在多线切割机恒张力控制中具有响应速度快、调节时间短的控制效果。The controlling system for multi-wire saw is modeled,and the particle swarm optimization algorithm was adopted to optimize the controller’s parameters.The controller parameters were optimized with Matlab.And the simulation result demonstrates that the optimized immune controller by the particle swarm algorithm performs well with rapid response and short tuning time.

关 键 词：免疫反馈控制 粒子群优化算法 多线切割机 恒张力控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]