工程设计学报2017，Vol.24Issue(4)：433-439,7.DOI:10.3785/j.issn.1006-754X.2017.04.010
基于粒子群算法多目标优化液压支架四连杆
Multi-objective optimization for four-bar mechanism of hydraulic support based on particle swarm optimization algorithm
摘要
Abstract
Taking into account the problems of large error and poor stability because of the com -plicated force calculation of four-bar mechanism of coal hydraulic support ,a method of particle swarm optimization is proposed to optimize the four-bar mechanism combined with the space force of the four-bar mechanism and movement trajectories .Firstly ,the four-bar mechanism opti-mization model was established .Then ,the parameters having greater impact on results were se-lected as the optimization variables in the optimization model , and the sum of trajectory deviation ,connecting rod length and connecting rod force was taken as the objective function ,and the constraints could be determined according to design specification of the hydraulic support . Lastly ,the particle swarm optimization algorithm was used to solve the objective function and the penalty function method was used to solve the problems of inequality constraints in the optimiza -tion model .The purposes of lightweight ,less force ,high stability after the optimization of the four-bar mechanism were achieved by the comparison of rod length ,stress and stability data be-fore and after optimization .The results indicate that the method has practical reference value for the design of the four-bar mechanism .关键词
液压支架四连杆/粒子群算法/优化Key words
four-bar mechanism of hydraulic support/particle swarm optimization algorithm/op-timization分类
矿业与冶金引用本文复制引用
赵东波,姚灵灵,袁坤坤,陆金桂..基于粒子群算法多目标优化液压支架四连杆[J].工程设计学报,2017,24(4):433-439,7.基金项目
"十二五"国家科技支撑计划项目(2013BAF02B11) （2013BAF02B11）
