基于灰度预测的无刷直流电机控制

针对传统PID控制器抗干扰能力差，参数调节繁琐等问题，提出了灰度预测控制器。对灰度预测算法进行了详细的理论分析和数学建模，利用最速梯度法对控制器参数进行调整，设计了参数自适应调整的控制器；对飞轮使用的无刷直流电机进行了较为准确的模型建立，并在此基础上设计了基于灰度预测控制器的电机控制仿真模型。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不同表现，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。

The Control of BLDC Motor Based on Gray Prediction

Aiming at the problems of poor anti-interference ability and tedious parameter adjustment of traditional PID controller, a pray level predictive controller is proposed. The gray prediction algorithm is analyzed in detail in theory and modeled mathematically. The parameters of the controller are adjusted by the steepest gradient method, and the controller with adaptive parameters is designed. The BLDC motor used in flywheel is modeled accurately, and the motor control simulation model based on the gray prediction is designed. The different performances of the two controllers under normal acceleration and disturbance are analyzed by simulation, and the superiority of the Gray Prediction Controller in regulation effect and stability is verified.