| 一种自学习Fuzzy控制器 |
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| 引用本文： | 秦丽江,金丕彦.一种自学习Fuzzy控制器[J].南京航空航天大学学报,1994(Z1). |
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| 作者姓名： | 秦丽江 金丕彦 |
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| 作者单位： | 东南大学自动控制系 |
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| 摘 要： | 为了提高Ｐｕｚｚｙ控制器的性能，适当调整Ｆｕｚｚｙ控制规则是很重要的。本文利用参考Ｆｕｚｚｙ集的概念给出了一种便于规则调整的Ｆｕｚｚｙ控制算法。由于这种算法避免了输入和输出数值域上的离散化，所以具有较强的灵活性。为了估计Ｆｕｚｚｙ控制器的性能，本文利用了参考模型。通过参考模型与被控对象输出的偏差来实时调整Ｆｕｚｚｙ控制规则，构成了自学习Ｆｕｚｚｙ控制器。仿真结果表明，自学习性能是令人满意的。
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| 关 键 词： | 模糊控制，自寻最佳系统，仿真，规则修正，自学习 |
A Self-Learning Fuzzy Controller |
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| Qin Lijiang,Jin Piyan.A Self-Learning Fuzzy Controller[J].Journal of Nanjing University of Aeronautics & Astronautics,1994(Z1). |
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| Authors: | Qin Lijiang Jin Piyan |
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| Abstract: | To improve the performance of fuzzy controllers, it is essential to adjust fuzzy control regulations properly. In this paper, a new fuzzy controller is proposed by using the concept of reference fuzzy sets. The control regulations of the new fuzzy controller are easy to adjust because the controller avoid the discretions on input and output ranges.Then,a reference model is used to estimate the performance of the fuzzy controller.The derivatives between the output of reference model and the output of controller plant are used to adjust the fuzzy control regulation so that a self-learning fuzzy'controller is built'. Simulation shows' that the performance of the self-learning fuzzy controller is satisfactory. |
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| Keywords: | fuzzy control theory self-optimizing systems simulation regulation adjustment self-learning |
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