| 基于电阻炉的单神经元PID控制器的设计及仿真 |
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| 引用本文： | 方红,王剑云.基于电阻炉的单神经元PID控制器的设计及仿真[J].自动化与仪器仪表,2011(5):55-56,60. |
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| 作者姓名： | 方红 王剑云 |
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| 作者单位： | 成都大学电子信息工程学院 成都,610106 |
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| 摘 要： | 对传统电阻炉PID控制器的不足之处进行了分析,阐述了单神经元PID控制算法的优点。介绍了根据有监督hebb学习算法,再结合实际控制经验而设计的单神经元控制器。分析了单神经元控制器中各个参数的意义与取值原则,并用Matlab软件对单神经元控制器在阶跃输入信号的情况下进行了仿真。仿真内容有:连接权值、K值变化对系统的影响及选取方法;单神经元PID控制器与常规PID控制器的抗干扰能力和调节性能对比。仿真结果证明单神经元控制器具有很好的参数自整定能力,且抗干扰能力强,超调量小,控制效果在各个方面都要优于常规PID控制器,单神经元控制器用于电阻炉温度控制系统比传统的PID控制器能取得更好的控制效果。
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| 关 键 词： | 单神经元PID Hebb学习规则 自适应控制器 仿真 |
Controller design and simulation for resistance furnace based on Single-Neuron PID control |
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| FANG Hong,WANG Jian-yun.Controller design and simulation for resistance furnace based on Single-Neuron PID control[J].Automation & Instrumentation,2011(5):55-56,60. |
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| Authors: | FANG Hong WANG Jian-yun |
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| Affiliation: | FANG Hong,WANG Jian-yun |
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| Abstract: | This paper analyzes the inadequacies of the traditional PID controller for resistance furnace, and then it explains the advantages of single-neuron PID control algorithm. A single- neuron controller is proposed combined with practical experience after s supervised hebb learning algorithm was introduced. It analyzes the meaning of each parameter in single-neuron controller and its value principle. Simulation with Matlab software illustrates the results for a given step input. The results contain connection w... |
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| Keywords: | Single-neuron PID Hebb learning rule Adaptive controller Simulation |
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