基于神经元的PID无菌包装预热控制技术
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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.
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.
引文
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[2]李家荣.高精度温度控制系统的设计及应用研究[J].量子电子学报,2016,33(5):614-617.
[3]陈勇,许亮,于海阔.基于单片机的温度控制系统的设计[J].计算机测量与控制,2016,24(2):77-79.
[4]冉育强,李军,杨军.基于PLC的环境模拟系统温度控制算法的研究与实现[J].计算机测量与控制,2015,23(10):3377-3380.
[5]ZHANG Huiping,LIU Zilong,SONG Xuejiong,et al.The design of the temperature examination in the mutiple route temperature control system[J].Journal of Shandong agricultural university,2003,34(2):66-70.
[6]WANG Jiali,LI Yanna.Simulation study of cooling system temperature control based on subsection control[J].Procedia engineering,2015,99:752-757.
[7]杨天博,张慧,王鹤熹.神经元PID加热炉温度控制[J].制造业自动化,2014,36(5):80-81.
[8]孙志富,潘三博,袁素真.单神经元PID算法在过热蒸汽温度控制中的应用研究[J].制造业自动化,2011,33(19):89-90.
[9]唐静,申毅,赵丽芬.基于单片机的温控系统设计[J].无线互联科技,2017(2):56-57.
[10]张海岭,李和言.静液传动履带车辆转向神经元自适应PID控制[J].北京理工大学学报,2013,33(1):52-56.
[11]殷斌.基于单片机的温度控制系统的研究[J].机电工程,2015,32(6):887-890.
[12]杨智,段鹏斌.一种基于模糊控制的温度控制器设计[J].工业仪表与自动化装置,2015(3):90-93.
[13]王波,闫连山,周威,等.分布式光栅传感网络的高精度温度控制系统设计[J].传感器与微系统,2013,32(11):118-120.
[14]吴兆胜,罗细芽.猪舍夏季环境温度控制应用现状及发展趋势[J].中国农机化学报,2012,(6):191-195.
[15]赵君.基于8051单片机的温度控制系统[D].长春:吉林大学,2012:44-51.
[16]杨晶,王铁滨,孙珊珊,等.模糊控制在温室大棚温度控制系统中的应用[J].软件工程师,2013(7):30-32.
[17]吕俊亚.一种基于单片机的温度控制系统设计与实现[J].计算机仿真,2012,29(7):230-233.
[18]张如鹏.智能技术在过热汽温控制中的应用研究[D].河北:华北电力大学,2012:19-26.