黑龙江科技大学学报2024，Vol.34Issue(1)：98-105,8.DOI:10.3969/j.issn.2095-7262.2024.01.015
基于多目标优化的采煤机截割最优运动参数匹配策略
Optimal motion parameter matching of shearer cutting section based on multi-objective optimization
摘要
Abstract
This paper proposes a control strategy of matching optimal kinematics parameter for shear-er cutting based on multi-objective optimization to avoid overload damage of the shearer,and make it run continuously,reliably and efficiently.According to the performance indicators including productivity rate and lump coal rate of the shearer drum,the study consists of developing a mathematical model and the o-verall objective function;optimizing it by using the particle swarm optimization algorithm based on simu-lated annealing;and simulating and analyzing shearer cutting and pulling cooperative control system by constructing a optimal kinematic parameter matching module.The results show that compared with tradi-tional shearer control method,this system can fit the optimal traction motor speed and drum speed better with the change of real-time working conditions.Although the shearer productivity is reduced by 3.2%,the comprehensive performance index of the shearer reaches the best with the increase of lump coal rate by 138.5%,the decrease of specific energy consumption of cutting by 30.8%,and the increase of coal loading rate by 40%.关键词
采煤机/参数匹配控制策略/模拟退火的粒子群算法/多目标优化Key words
shearer/parameter matching control policy/particle swarm optimization for simulated annealing/multi-objective optimization分类
矿业与冶金引用本文复制引用
郭殿林,岳博..基于多目标优化的采煤机截割最优运动参数匹配策略[J].黑龙江科技大学学报,2024,34(1):98-105,8.基金项目
黑龙江省省属高等学校基本科研业务费项目(2022-KYYWF-0550) （2022-KYYWF-0550）
