直流电机神经元PID调速系统设计与仿真

针对传统PI双闭环直流电机调速系统存在响应速度慢、超调量大、抗干扰能力及自适应能力差等问题，提出了一种双闭环直流电机调速系统的神经元PID转速调节器设计方法。该转速调节器采用神经元控制器和比例控制相结合进行设计，从而构成了一种具有自学习、自适应能力的神经元PID控制器，然后与传统单神经元PID设计的转速调节器控制效果进行了对比。结果表明，基于神经元PID转速调节器的双闭环直流电机调速系统具有较快的响应速度、良好的动态和静态稳定性、较强的自适应能力和抗干扰能力。

Design and Simulation of DC Motor Speed Regulation System Based on Neuron PID Controller

The DC motor double closed loop speed regulation system based on the traditional PI controller has slow response speed, large overshoot, poor anti-interference ability and adaptive ability, so a design method of speed regulator based on neuron adaptive PID was proposed. The speed regulator was designed by using neuron controller and proportional controller. It is a neuron PID controller with self-learning and adaptive ability. Then, the control effect was compared with speed regulator based on the traditional single neuron PID controller. The simulation results show that DC motor double closed loop speed regulation system based on neuron adaptive PID has faster response speed, better static and dynamic regulation stability, stronger anti-interference ability and adaptive ability.