基于混合伪并行遗传算法的BLDCM转速控制系统的优化设计

BLDCM Optimization of Speed Control System Based on Hybrid Parallel Genetic Algorithm

本文以无刷直流电动机作为被控对象,运用混合伪并行遗传算法（MPPGA）对其转速控制器的PI参数进行了优化设计,该算法针对常规遗传算法搜索效率低和早熟收敛的缺点,通过将最速下降法与伪并行遗传算法相组合形成了一种全局优化算法,并使用MATLAB 6.5软件进行了动态跟随性能的仿真实验,实验结果表明采用该算法确能优化调速系统的性能。

In this paper,brushless DC motor as a controlled object,the use of the mixed pseudo-parallel genetic algorithm （MPPGA） its speed PI controller design parameters are optimized,the algorithm searches for the conventional genetic algorithm and the premature convergence and low efficiency of the shortcomings,by steepest descent method with the pseudo-parallel genetic algorithm developed a portfolio of global optimization algorithms,and the use of MATLAB 6.5 software to follow the dynamic performance of the simulation experiments,confirmed the use of the algorithm is indeed able to play the purpose of optimizing the speed performance.