基于神经网络PID控制的开关稳压电源

Switching Regulated Power Supply Based on Neural Network PID Control

针对开关稳压电源非线性,如采用单纯的PID控制,难以在整个工作范围内建立数学模型的特点,提出了BP神经网络的PID控制方法。介绍了以MSP430F449为核心控制器件开关稳压电源的系统结构及软件实现方法。仿真和实验数据表明该控制器具有响应速度快、精度高和良好的鲁棒性。

According to the nonlinear of switching power supply, it is difficult to establish the whole mathematical model only based on PID, so the BP neural network PID control arithmetic was put forward. The core control device based on MSP430F449, the system structure and the software realization method were introduced. The simulink and data testify this controller has quick response, high precision and good robust.