遗传算法优化的MFAC对电机速度控制的研究

Motor Speed Control with MFAC Optimized by Genetic Algorithm

将无模型自适应控制算法应用于直流伺服电机的控制,此算法结构简单,控制精度高。在建立了电机的数学模型后,使用MATLAB进行算法仿真,并通过遗传算法对无模型自适应控制算法进行参数优化。在MATLAB仿真的基础上,进行了实验验证。实验结果表明,无模型控制算法应用于电机速度控制能取得良好的控制效果,利用遗传算法优化参数后的控制效果更好。

In this paper,the model-free adaptive control algorithm is applied to a DC servo motor,this algorithm has the advantages of simple structure,high control precision.After the establishment of the mathematical model of the motor,the algorithm is simulated with MATLAB,and the model-free adaptive control algorithm parameters are optimized by genetic algorithm.On the basis of MATLAB simulation,the effect of the algorithm is verified through experiment.The experimental results show that applying model-free control algorithm to the motor speed control can achieve good control effect.The effect will be better after optimized by genetic algorithm.