| 基于物理模型的拟人智能控制 |
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| 引用本文： | 李诚,张明廉.基于物理模型的拟人智能控制[J].航空学报,2004,25(2):148-152. |
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| 作者姓名： | 李诚 张明廉 |
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| 作者单位： | 北京航空航天大学,自动化学院自动控制系,北京,100083 |
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| 基金项目： | 国家自然科学基金(60074021),教育部博士点基金(9722)资助项目 |
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| 摘 要： | 回顾了自动控制理论与智能控制的过去和现在,讨论了它们存在的问题,提出基于物理模型的拟人智能控制。通过介绍一个成功的实例"平面运动单级倒立摆"的控制来阐明拟人智能控制的机理以及设计控制律的流程。对于复杂的非线性被控对象,只要知道其物理模型,应用拟人智能控制方法可以得到很好的结果。
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| 关 键 词： | 智能控制 归约 模糊控制 人工神经网络 |
| 文章编号： | 1000-6893(2004)02-0148-05 |
| 修稿时间： | 2003年2月15日 |
Human-Imitating Intelligent Control Based on Physical Model |
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| LI Cheng,ZHANG Ming-lian.Human-Imitating Intelligent Control Based on Physical Model[J].Acta Aeronautica et Astronautica Sinica,2004,25(2):148-152. |
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| Authors: | LI Cheng ZHANG Ming-lian |
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| Institution: | Department of Automatic Control in School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China |
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| Abstract: | Based on the review of traditional control theories and some intelligent control theories,their limitations are discussed,then the human-imitating intelligent control method is presented which is based on the physical model.The mechanism of this method is explained and the procedure of designing the human-imitating control law is introduced through its successful application to stabilizing the two-degree-of-freedom single inverted pendulum.As for the complicated nonlinear objects,applying this human-imitating intelligent control method can achieve satisfactory results as long as the object's physical model is available. |
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| Keywords: | intelligent control reduction fuzzy control artificial neural network |
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