论文部分内容阅读
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 vector control technology of mine hoist induction motor, it is very important to optimize the parameters of PI controller for current closed-loop control mode with PI control. A Hybrid Particle Swarm Optimization (PSO) algorithm was used to optimize the parameters of asynchronous motor speed controller and compared with the conventional controller parameters and the speed controller parameters optimized by standard particle swarm optimization algorithm. The experimental results show that the hybrid particle swarm optimization The parameters of algorithm optimization can improve the control speed and dynamic performance of the system, and have certain theoretical and practical significance for the research of vector control of induction motor in mine hoist.