基于蜣螂算法的无刷直流电机速度控制仿真研究

Simulation study on speed control of brushless DC motor based on dung beetle algorithm

为提高无创呼吸机用无刷直流电机的控制性能,改善无创呼吸机压力输出控制精度,设计了一种基于蜣螂算法优化的模糊PID控制器用于无刷直流电机调速系统.首先对无刷直流电机进行数学建模,再利用Simulink设计无刷直流电机双闭环转速控制系统仿真模型,并模拟实际工况对系统模型进行仿真实验.结果显示,当设定调速系统超调量为0.4%,调节时间为0.011 s,加入负载后的转速波动为4.0 r·min^(-1)时,经过0.002 s振荡后系统趋于稳定.仿真结果说明所设计的控制器动态和静态性能优异,显著提高了无刷直流电机控制性能,改善了无创呼吸机压力输出控制精度,可以满足无创呼吸机对稳定、可控气流源的需求.

In order to improve the control performance of brushless DC motor for non-invasive ventilator,as well as to improve the control precision of its pressure output,a fuzzy PID controller based on dung beetle optimization algorithm was developed to solve the problem of low precision of traditional PID control.Firstly,mathematical modeling of brushless DC motor was carried out,and Simulink was used to design the simulation model of the brushless DC motor's double closed-loop control system,with which the control system was simulated on its actual working conditions.The simulation results show that the overshoot of the speed control system using the proposed method is 0.4%,the adjustment time is 0.011 s,the speed fluctuation is 4.0 r·min^(-1)after adding the load,and it tends to be stable after 0.002 s of oscillation.The results demonstrate that the controller designed in this paper has excellent dynamic and static performance,improves the control performance of brushless DC motor significantly,improves the pressure output control accuracy of non-invasive ventilator,and meets the need of non-invasive ventilator for a stable and controllable air source.