| 采用人工神经元的智能PID控制 |
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| 引用本文： | 沙道航,葛思华.采用人工神经元的智能PID控制[J].西安工业学院学报,1994,14(4):309-313. |
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| 作者姓名： | 沙道航 葛思华 |
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| 作者单位： | 西安工业学院，西安交通大学 |
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| 摘 要： | 采用单个人工神经元构成智能ＰＩＤ控制器．以系统的误差信号作为神经元的输入，神经元的权系数相当于传统离散ＰＩＤ的比例、积分、微分系数，神经元的输出为实际控制信号的修正值．利用ＢＰ学习规则在线修正神经无权值，以便能够获得在线自动寻优，调整ＰＩＤ控制器参数．该方法适用于被控系统模型未知、非线性严重和参数变化较大的场合．本文对一非线性系统进行了仿真，结果表明该控制器具有很强的自适应和自学习能力．
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| 关 键 词： | PID控制，人工智能，神经元，BP算法 |
Intelligent PID Control Using The Artificial Neural |
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| Sha Daohang,Ge Sihua,He Yue,Ding Chongsheng.Intelligent PID Control Using The Artificial Neural[J].Journal of Xi'an Institute of Technology,1994,14(4):309-313. |
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| Authors: | Sha Daohang Ge Sihua He Yue Ding Chongsheng |
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| Affiliation: | Sha Daohang;Ge Sihua;He Yue;Ding Chongsheng |
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| Abstract: | A New intelligent PID controller is composed by using atrificial neural.The parameters of PID are automatically adjusted by using error--Propagation tearing algorithm online.This method can be used tO control the systems that are nonlinear and difficult toconstruct the mathmatical model and the systems whose parameters are variable in a largescale. The simulaion results of a nonlimear system, are given. The results also indicatethat the proPOsed controller has a very strong funCtions of adaptive and self--learning |
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| Keywords: | PID control artificial intelligent neural Back--propagation algorithm |
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