Chaos-PSO算法在掘进机系统中的应用  

Application of Chaos-PSO Algorithm in Boom Type Heading System of Road-header

作　　者：欧阳佳鹏 李文 OU Yang Jia-Peng;LI Wen(Department of Electronic and Information Engineering,Hunan University of Science and Engineering,Yongzhou 425199,China)

机构地区：[1]湖南科技学院电子与信息工程学院,湖南永州425199

出　　处：《电脑知识与技术》2021年第27期8-9,共2页Computer Knowledge and Technology

基　　金：湖南省教育厅优秀青年项目(项目编号19B217);国家级大学生创新创业训练项目(项目编号:201910551021X);湖南科技学院计算机科学与技术应用特色学科资助;湖南省课程思政研究项目(课题号:HNKCSZ-2020-0548)。

摘　　要：悬臂式掘进机掘进系统为复杂的液压时滞系统且负载突变,其控制器PID参数采用传统的算法易早熟收敛而导致控制系统动静态性能不佳等问题。针对上述问题采取混合算法的思想,提出了一种Chaos-PSO混合优化算法,并应用在掘进液压控制系统PID参数的优化上。结合控制系统的传递函数,采用Matlab进行仿真分析,结果表明Chaos-PSO混合优化算法与经验整定法及模糊控制法比较,其算法实现简单,上升时间快20%以上,无超调,稳定精度高2%以上,与单纯的Chaos优化算法、PSO算法、灰狼算法比较,其参数优化效率更高,自适应性更好。The driving system of the cantilever road-header is a complicated hydraulic time-delay system with sudden change of load.The PID parameters of the controller are adjusted by the traditional experience method and fuzzy control method.It is diffi⁃cult,tedious and easy to oscillation and overshoot.Aiming at the above problems,a Chaos-PSO hybrid optimization algorithm is proposed,and it is applied to the optimization of PID parameters in the driving hydraulic control system.Combined with the trans⁃fer function of the control system,Matlab is used to carry out the simulation analysis.The results show that the Chaos-PSO hybrid optimization algorithm is easier to realize and its rising time is 20%faster than the experience setting method and the mode and control method,compared with Chaos optimization algorithm,PSO Algorithm and Gray Wolf Algorithm,its parameter optimization efficiency is higher and its adaptability is better.

关 键 词：悬臂式掘进机 Chaos优化 PSO优化 MATLAB仿真 

分 类 号：TP3-05[自动化与计算机技术—计算机科学与技术]