针对大时滞的改进ITGC控制算法及参数优化研究  

Design and Parameter Optimization of Improved ITGC Controller With Large Time Delay

作　　者：汪思源[1] 刘青震 王文标 杜佳璐[1] 

机构地区：[1]大连海事大学船舶电气与工程学院,辽宁大连116026

出　　处：《工业控制计算机》2020年第4期34-36,82,共4页Industrial Control Computer

基　　金：国家自然科学基金资助项目(51579026);具有动态不确定的非线性船舶动力定位控制策略研究资助项目(51079013)。

摘　　要：在大时滞过程下传统ITGC(智能轨迹导引控制算法)存在控制效果不佳及参数整定困难的问题,为此设计了一种改进ITGC控制器,并对其控制参数基于PSO算法寻优选定。该方法首先在设定值后引入无滞后导引过渡过程来克服系统的滞后,实现定性合理的超前粗略调节;然后在其位置项上引入估计滞后来实现位置项偏差的实时微调;最后以ITAE作为评价指标函数,采用PSO算法进行参数寻优。仿真结果表明,IMP-ITGC-PSO较传统的ITGC增强了鲁棒性且扩大了适用范围,具有良好的现实应用前景。In the process of large time delay,the traditional ITGC(intelligent trajectory guidance control algorithm)has problems of poor control effect and difficult parameter setting,so an improved ITGC controller is designed and its control parameters are optimized based on PSO algorithm in this paper.In this method,the non-hysteresis guidance transition process is introduced after the set value to overcome the hysteresis of the system.Then the estimation lag is introduced into the position item to realize the real-time fine-tuning of the position item deviation.Finally,ITAE is used as the evaluation index function and PSO algorithm is used for parameter optimization.Simulation results show that imp-itgc-pso is more robust and more applicable than traditional ITGC.

关 键 词：大时滞系统 ITGC 改进ITGC PSO算法 参数整定 仿真 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]