基于BP神经网络PID自整定的光电色选机控制系统  

PID Self-tuning Electro-optical Sorter Control System Based on BP Neural Network

作　　者：高瑞[1] 

机构地区：[1]郧阳师范高等专科学校物理与电子工程系,湖北丹江口442700

出　　处：《郧阳师范高等专科学校学报》2011年第6期58-62,共5页Journal of Yunyang Teachers College

基　　金：郧阳师范高等专科学校科研项目(项目编号:2010B04)

摘　　要：采用BP神经网络参数自整定PID的控制策略来实现对光电色选机的自动化智能控制,系统以TMS320VC5402为主控器,对光电色选机主作业参数之流量、背景板角度和滑槽仰角进行在线自整定,达到自动调整色选机工作状态的目的;并且设计了基于DSP的智能控制方案,给出了系统的硬件构成和软件实现算法.The automated intelligent control of electro-optical sorter can be realised by PID self-tuning control strategy of BP neural network parameters.The system has,with TMS320VC5402 as the main controller,carried out online self-tuning of main parameters＇ flow,background plat angle and chute elevation to realize self-tuning sorter working status.This paper has also designed intelligent control program based on DSP and proposed the hardware components and software calculations.

关 键 词：光电色选机 BP神经网络 PID控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]