摘要
在矿井提升机异步电机的矢量控制技术中，对于采用PI控制的电流闭环控制方式，PI控制器的参数的优化尤为重要。利用一种混合粒子群（PSO）算法对异步电机速度控制器的参数进行优化，并与常规控制器参数以及标准粒子群算法优化后的速度控制器参数进行比较，实验结果表明，用混合粒子群算法优化的参数，可以提高系统的控制速度、动态性能，对矿井提升机异步电机矢量控制的研究具有一定的理论和现实意义．
In the mine hoist asynchronous motor vector control technology , for the current control loop with PI control,the PI controller parameters optimization is particularly important. Using a hybrid particle swarm PSO,algorithm for asynchronous motor compared with the conventional controller parameters speed to optimiz the controller parameters, and and after the standard particle swarm algorithm optimized of the speed controller parameters, the experimental results show that, with the hybrid particle swarm algorithm to optimize the parameters, can improve the system＇s speed control, dynamic performance of mine hoist, the asynchronous motor vector control research has certain theoretical and practical significance.
作者
曹建全
黄明
CAO Jian-quan, HUANG Ming （College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China）
出处
《煤矿机械》
北大核心
2012年第4期206-208,共3页
Coal Mine Machinery
