基于神经元的PID无菌包装预热控制技术  

Preheating Control Technology for PID Aseptic Packaging Based on Neuron

作　　者：王斌[1] 石秀东 李进 王彬 WANG Bin;SHI Xiudong;LI Jin(School of Mechanical Engineering,Jiangnan University,Wuxi,Jiangsu 214122,China)

机构地区：[1]江南大学机械工程学院,江苏无锡214122

出　　处：《轻工机械》2018年第3期62-66,共5页Light Industry Machinery

基　　金：国家科技支撑计划项目(2015BAF12B00)

摘　　要：针对PID控制在无菌砖包设备预热控制系统中控制效果不理想的现状,课题组提出一种将神经网络应用于PID控制器的新策略。该PID控制器基于神经元控制预热温度,让PID控制参数在有监督的δ学习规则下进行自调整,从而实现在预热温度变化时能自行调整。最后运用Simulink对无菌砖包设备预热温控系统进行仿真,结果表明神经元PID控制器在预热温控系统中具有良好的控制性能,研究改善了PID控制在解决变参数和非线性问题的短缺方面,达到预热温度变化时自调整的目标。The control effect of PID control is not ideal in the preheating control system of aseptic brick packaging equipment,this paper presents a new strategy which is based on the combinations of BP neural network and PID controller.The preheating temperature was based on neuron,allowing PID control parameters to be self adjusted under supervised learning rules,so as to realize self adjustment when the preheating temperature changed.Using Simulink of asepsis brick package equipment for simulation of preheating temperature control system,results show that the neuron PID controller in the preheating temperature control system has a good performance.The study improves PID control in the solution variable parameters and nonlinear problems of shortages,reaching self adjusted goals when preheating temperature changes.

关 键 词：无菌包装 预热控制 PID控制器 神经元算法 Simulink软件 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]