| 基于模糊树模型的自适应直接逆控制 |
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| 引用本文： | 丁海山,毛剑琴,林岩.基于模糊树模型的自适应直接逆控制[J].自动化学报,2008,34(5):574-580. |
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| 作者姓名： | 丁海山 毛剑琴 林岩 |
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| 作者单位： | 1.北京航空航天大学第七研究室 北京 100083 |
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| 基金项目： | 国家自然科学基金
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国家重点基础研究发展计划(973计划) |
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| 摘 要： | 基于模糊树模型, 结合神经网络中的逆向学习和专门化学习, 提出了自适应直接逆控制方法. 首先离线辨识对象的逆模型作为初始的控制器, 然后与对象串联, 用最小均方差 (Least mean square, LMS) 算法在线调节控制器中的线性参数. 本方法辨识得到的逆模型控制器可以减少需要的模糊规则数目, 同时达到较好的跟踪控制效果. 仿真结果表明了方法的有效性.
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| 关 键 词： | 模糊树模型 T-S模糊模型 自适应逆控制 跟踪控制 |
| 收稿时间： | 2007-7-10 |
| 修稿时间： | 2007年7月10日 |
Adaptive Direct-inverse Control Based on Fuzzy Tree Model |
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| DING Hai-Shan,MAO Jian-Qin,LIN Yan.Adaptive Direct-inverse Control Based on Fuzzy Tree Model[J].Acta Automatica Sinica,2008,34(5):574-580. |
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| Authors: | DING Hai-Shan MAO Jian-Qin LIN Yan |
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| Affiliation: | 1.The Seventh Research Division, Beijing University of Aeronautics and Astronautics, Beijing 100083;2.China Airborne Missile Academy, Luoyang 471009;3.School of Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083 |
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| Abstract: | An adaptive direct-inverse control approach is proposed based on the fuzzy tree model and inverse learning and special learning that are used in neural networks broadly.In this approach,the inverse model of the plant is identified as the initial controller firstly.Then the inverse model is connected to the plant in series and the linear parameters of the controller are tuned by the least mean square algorithm in on-line manner.The controller based on the inverse model obtained by the proposed approach can reduce the fuzzy rules and acquire satisfying tracing control effect.Simulation results have shown the effeteness of the proposed approach. |
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| Keywords: | Fuzzy tree model T-S fuzzy model adaptive inverse control tracing control |
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