基于改进PSO算法的铜电解12脉波整流电源的优化控制

Study of 12 Pulse Rectifier Power Supply for Copper Electrolysis Based on Improved Partical Swarm Optimization-PSO

针对铜电解电源整流系统的对象本身具有非线性时变特性,提出带有变异算子的改进粒子群(PSO)算法,以保证粒子群算法的全局最优性。并对12脉波整流电源稳流控制器的PI参数进行优化,经仿真实验研究表明,采用改进的PSO算法优化稳流控制器的PI参数,将使铜电解整流系统具有较好的稳态和动态性能,获得满意的效果,改进PSO算法是一种非常有效的PI参数优化方法。

Put forward improved particalswarmoptimization-PSO on account to nonliner and time varying character of copper electrolysis system model. PI parameters of 12 pulse eliminator power current regulator controller are optimized to ensure the global optimum of PSO. The experimental simulation shows that using the improved PSO algorithm for PI parameters of eliminator power current regulator controller is provided with steady and dynamic property and acquire satisfying effect, it is an effective method of PI parameter optimization.