| 一种基于专家调节增益的单神经元PID控制 |
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| 引用本文： | 肖冰,王印松,杨光军.一种基于专家调节增益的单神经元PID控制[J].自动化技术与应用,2003,22(4):14-16. |
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| 作者姓名： | 肖冰 王印松 杨光军 |
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| 作者单位： | 华北电力大学动力工程系,保定,071003 |
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| 摘 要： | 本文提出了一种改进的单神经元PID捧制的方法，采用专家调节单神经元PID控制中的比例增益，有效地解决了单神经元PID控制中学习速度较慢，动态响应时间长等问题。这种控制方法具有较强的鲁棒性，其控制性能优于常规PID控制和单神经元PID控制，通过对一阶惯性加纯巡延的典型工业过崔对象的仿真研究，表明了这种控制算法具有优良的控制性能。
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| 关 键 词： | 单神经元PID控制 专家控制 学习速度 仿真 比例增益 |
| 文章编号： | 1003-7241(2003)04-0014-03 |
A Single Neuron PID Control Based on Expert |
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| XIAO Bing,WANG Yin_song,YANG Guang_jun.A Single Neuron PID Control Based on Expert[J].Techniques of Automation and Applications,2003,22(4):14-16. |
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| Authors: | XIAO Bing WANG Yin_song YANG Guang_jun |
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| Abstract: | An improved single neuron PID control algorithm is presented,in which the proportional coefficient of single neuron is chosen by the expert control idea.The learning rate,dynamic response have all been greatly improved.The new algorithm has strong robustness and the performance is found to be better than that of the classical PID control and single neuron PID control.Based on the simulations carried out on the plant of 1st order plus pure delay,the effectiveness and feasibility of the algorithm are verified. |
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| Keywords: | Single neuron control Expert control PID control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
