改进的PSO算法在掘进机掘进系统中的应用  

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

作　　者：李文 杨振南 LI Wen;YANG Zhen-nan(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：《控制工程》2020年第10期1834-1837,共4页Control Engineering of China

基　　金：湖南省教育厅优秀青年项目(19B217);湖南科技学院计算机科学与技术应用特色重点学科资助。

摘　　要：悬臂式掘进机掘进系统为液压时滞系统,其具有结构复杂且负载突变等特性。针对悬臂式掘进机掘进液压控制系统PID参数经验法整定及模糊控制法整定困难、烦琐且易出现振荡和超调,从而导致控制系统动静态性能不佳等问题,提出了一种非线性变化惯性权重、随机取值学习因子、佳点并行搜索的改进PSO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,其动静态参数对比表明其性能较优,验证了在复杂工况下算法的有效性,增强了掘进系统的稳定、高效和自适应性能。The driving system of cantilever road-header is a hydraulic time-delay system, which has the characteristics of complex structure and sudden change of load. Aiming at the program that the PID parameters of hydraulic control system of boom type road-header are difficult and cumbersome to be set by experience method and fuzzy control method, and are prone to oscillation and overshoot, which often leads to poor dynamic and static performance of control system. An improved PSO algorithm with nonlinear changing inertia weight, random learning factor and parallel searching of good points is proposed and applied to the optimization of PID parameters of hydraulic control system. Combined with the transfer function of the control system, Matlab is used to carry out the simulation analysis, and the comparison of dynamic and static parameters shows that its performance is better, and effectiveness of the algorithm under complex conditions is verified. The results show that the algorithm enhances the stability, high efficiency and adaptive performance of the tunneling system under complex working conditions.

关 键 词：悬臂式掘进机 PID控制 PSO优化 MATLAB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]