基于灰度预测的无刷直流电机控制

Controlling of BLDC Motor Based on Gray Prediction

针对无刷直流电机在飞轮中的控制性能要求,建立了无刷直流电机的数学模型。为进一步提高飞轮转速的控制性能,对灰度预测算法进行了详细的理论分析和数学建模,利用梯度下降法对PID控制器的参数进行了调整,并在此基础上设计了参数自适应调整的灰度预测控制器。通过仿真分析了两种控制器在正常加速和受到干扰两种情况下的控制效果,验证了灰度预测控制器在调节效果和稳定性等方面的优越性。

Towards the requirements of controlling brushless DC motor,this paper establishes the model of the motor.In order to improve the performance of the flywheel speed,theoretical analysis and mathematical modeling of the gray prediction algorithm are carried out.Then,this paper uses the gradient descent method to adjust the parameters of the PID controller and designs a gray-scale predictive controller with adaptive parameter adjustment.By simulating the control effects of two kinds of controllers under normal acceleration and disturbance respectively,it is proved that gray-scale predictive controller has an advantage in regulating effect and stability.