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刨花板热压控制系统BP神经网络整定PID控制
引用本文:韩宇光,曹军,朱良宽.刨花板热压控制系统BP神经网络整定PID控制[J].自动化技术与应用,2011,30(12):8-10,30.
作者姓名:韩宇光  曹军  朱良宽
作者单位:东北林业大学机电工程学院,黑龙江哈尔滨,150040
基金项目:国家863支持计划(2010AA101702-3)计划
摘    要:针对刨花板热压控制系统中热压控制存在的非线性、纯滞后和时变性等现象,根据BP神经网络PID和常规PID控制的控制思想,提出了BP神经网络PID的控制策略,实现了对PID参数的在线自整定,完善了PID控制器的性能,提高了系统的控制精度.仿真结果表明,与常规PID控制器相比,该控制器明显提高了热压控制系统的动态性能和稳定性...

关 键 词:刨花板  BP神经网络控制  PID控制  热压机  位置伺服控制

Particleboard Hot press Control Based on BP Neural Networks PID Method
HAN Yu-guang,CAO Jun,ZHU Liang-kuan.Particleboard Hot press Control Based on BP Neural Networks PID Method[J].Techniques of Automation and Applications,2011,30(12):8-10,30.
Authors:HAN Yu-guang  CAO Jun  ZHU Liang-kuan
Affiliation:HAN Yu-guang,CAO Jun,ZHU Liang-kuan(College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin 150040 China)
Abstract:According to some phenomena such as non-linear characteristic,the special process requirements of steady control without overshoot,and base on BP neural networks control,self-tuning control and PID control theory,we adopt the BP self-tuning PID strategy to control the slab thickness.The method on the PID parameters by BP optimization implement online self-tuning,which can consummate the performances of PID controller and improve control precision and stabi-lization of the electro-hydraulic position servo sy...
Keywords:particleboard  BP neural networks  PID  hot press  position servo control  
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