改进蚁群算法优化的采煤机滚筒调高控制策略  

Optimized shearer drum height adjustment control strategy of improved ant colony algorithm

作　　者：胥良 陈鸿垚 Xu Liang;Chen Hongyao(School of Electrical&Control Engineering,Heilongjiang University of Science&Technology,Harbin 150022,China)

机构地区：[1]黑龙江科技大学电气与控制工程学院,哈尔滨150022

出　　处：《黑龙江科技大学学报》2023年第2期214-220,共7页Journal of Heilongjiang University of Science And Technology

摘　　要：针对采煤机截割过程中存在负荷高、惯性大的复杂工况,导致滚筒调高响应慢、精准度低等问题,采用改进蚁群算法优化采煤机滚筒调高控制系统的PID参数,通过分析活塞杆伸缩量与滚筒高度位移量的非线性关系,引入指标函数δ改进蚁群算法,寻优与当前工况匹配的PID参数实现自适应控制,仿真并验证改进蚁群算法优化采煤机调高PID控制系统的效果。结果表明,与常规闭环PID控制相比,路径跟踪响应速度快20%,最大偏差值小于0.01 m,提高了控制系统的自适应能力,有效地解决采煤机滚筒调高控制系统响应速度慢和精度低的问题。This paper attempts to address the slow response and low accuracy of drum height adjustment caused by the complex working conditions of high load and large inertia in shearer cutting process.The study involves using improved ant colony algorithm to optimize the PID parameters in the shearer drum height adjustment control system;introducing the index functionδto improve the ant colony algorithm;optimizing the PID parameters matching the current working conditions;simulating and verifying the effect of the PID control system of shearer height adjustment.The results show that compared with the conventional closed-loop PID control system,the path tracking response speed is 20%faster and the maximum deviation is less than 0.01 m,which improves the adaptive ability of the control system,and effectively solves the problems of slow response speed and low accuracy of the shearer drum height adjustment control system.

关 键 词：采煤机 滚筒调高 PID控制 蚁群算法 

分 类 号：TD421.6[矿业工程—矿山机电]