| 基于TS模型的增益自校正单神经元PID控制算法 |
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| 引用本文： | 董红生,黄晓峰.基于TS模型的增益自校正单神经元PID控制算法[J].自动化与仪器仪表,2007(6):6-8. |
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| 作者姓名： | 董红生 黄晓峰 |
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| 作者单位： | 兰州工业高等专科学校电气工程系,甘肃,兰州,730050 |
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| 摘 要： | 将单神经元自适应PID控制算法和基于TS模型的模糊推理系统相结合,提出了增益模糊自校正单神经元PID控制算法。该算法使得传统单神经元自适应PID控制的神经元增益具备在线自动调整的功能,对于变增益的不确定性系统的控制,获得了很好的控制性能。
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| 关 键 词： | 单神经元PID控制 TS模糊模型 增益模糊自校正 |
| 文章编号： | 1001-9227(2007)06-0006-03 |
| 修稿时间： | 2007年6月25日 |
Research on algorithm of single neuron adaptive PID controller with fuzzy self-tuning gain |
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| Dong Hongsheng.Research on algorithm of single neuron adaptive PID controller with fuzzy self-tuning gain[J].Automation & Instrumentation,2007(6):6-8. |
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| Authors: | Dong Hongsheng |
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| Affiliation: | Dong Hongsheng |
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| Abstract: | Combining algorithm of single neuron adaptive PID control with fuzzy logic system based on TS model,the algorithm of single neuron adaptive PID controller with fuzzy self-tuning gain is suggested.The algorithm makes the tradition neuron gain of single neuron adaptive PID have the function of online automatic adjustment,the uncertain system to changing gain can achieve well control performance. |
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| Keywords: | Single neuron PID control TS fuzzy model Fuzzy self-tuning gain |
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