基于PSO优化的模糊PID矿灯充电控制技术研究  

The Charging Control Technology of Miner Based on PSO Optimization of Fuzzy PID

作　　者：赵泽鑫 张远俊 

机构地区：[1]中国煤炭科工集团重庆研究院,重庆400050 [2]芙蓉矿务局杉木树矿业有限公司,宜宾644501

出　　处：《重庆科技学院学报（自然科学版）》2012年第6期140-142,共3页Journal of Chongqing University of Science and Technology：Natural Sciences Edition

摘　　要：针对矿灯充电系统的多变量、非线性和离散性特点,提出一种基于PSO优化的模糊PID矿灯充电控制策略。基于变论域的思想,采用PSO优化模糊控制器的量化因子参数,将该方法用于矿灯充电控制系统,同时与GA优化算法进行对比。Considering the miner charging system variables,nonlinear,and discrete features,fuzzy PID optimization based on PSO the miner charging control strategy.Variable Region-based thinking,using the parameters of the PSO optimization of the quantization factor of the fuzzy controller,this method is used to miner's lamp charge control system,compared with GA optimization algorithm.Simulation results show that the convergence rate of the proposed algorithm is fast,ultra-adjust the amount is small.

关 键 词：充电 模糊PID 粒子群优化 遗传算法 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]