基于DSP的BP神经网络PID控制器的设计

Design of BP Neural Network PID Controllers Based on DSP

针对BP神经网络PID控制算法的复杂性及实现的困难性,本文提出了一种使用DSP芯片来实现的方案,外围功能接口则由辅助芯片FPGA来完成。利用TI公司提供的RTOS(DSP/BIOS)快速开发出该控制器原型,并通过对伺服电机的转速控制实验,对比传统的PID控制后,证明了该方案的实时性及控制性能都能满足工程需求。

As for the problem that BP neural network PID control algorithm is complex and hard to implement,a scheme that uses DSP to implement the algorithm is presented,and the external function interfaces are implemented in FPGA.The controller prototype is quickly designed with the help of RTOS（DSP/BIOS） provided by TI.Compared with the traditional PID controlling,the experiment using this controller to control the velocity of the servo motor shows that the scheme can meet the requirements of the real-time characteristics and the control performance.