永磁直流无刷电机改进的单神经元PID自适应控制仿真研究

Simulation study on BLDCM control system using improved single-neutron adaptive PID control algorithm

电机的控制方法对充分发挥永磁直流无刷电机使用性能起着关键作用,因此将智能控制方法应用到了永磁直流无刷电机的控制中。对永磁直流无刷电机的数学模型进行了分析,在Matlab R2008a+Simulink中建立了永磁直流无刷电机控制系统的仿真模型,为提高系统响应的快速性、稳定性和鲁棒性,提出了将改进的单神经元PID控制方法应用在永磁直流无刷电机的外环控制中。在验证了电机仿真模型正确性的基础上,对采用改进的单神经元PID控制算法的电机控制系统进行仿真研究,并将其仿真结果与普通PID控制算法仿真结果进行比对。研究结果表明,改进的单神经元PID控制方法具有较好的控制效果。

In order to solve the problems of giving full play to the brushless DC motor（BLDCM）performance,intelligent control method was investigated,for control method is extremely important to the performance.After the analysis of the BLDCM mathematical model,the BLDCM control system model was established in Matlab R2008a＋Simulink.The improved single-neutron PID control method used in the speed loop was presented to improve the system＇s responding,stability and robustness.Based on the correctness of BLDCM model that was proved by the running result,the BLDCM control system using the improved single-neutron PID control algorithm was evaluated by simulation.By contrasting the simulation results of PID control method and the improved single-neutron PID control algorithm,the comparison result shows that it has better control performance by using the improved single-neutron PID control algorithm in the BLDCM control system.