| 基于ANN与FNN的飞机防滑刹车系统设计 |
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| 引用本文： | 何恒,吴瑞祥,黄伟明. 基于ANN与FNN的飞机防滑刹车系统设计[J]. 航空学报, 2005, 26(1): 116-120 |
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| 作者姓名： | 何恒 吴瑞祥 黄伟明 |
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| 作者单位： | 1. 北京航空航天大学 机械工程及自动化学院, 北京 100083;2. 中国航空工业第一集团公司 609所1室, 湖北 襄樊 441052 |
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| 基金项目： | 航空科学基金(01E51068)资助项目 |
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| 摘 要： | 飞机防滑刹车问题的关键是滑移率。为了使飞机刹车以最佳滑移率工作,防止陷入深度打滑和获得最大的刹车结合系数,提出一种智能飞机刹车系统,该系统由两部分组成:①利用神经网络(ANN)构造的,能实时获得最佳滑移率的最佳滑移率识别器;②利用模糊神经网络(FNN)构造的,能快速逼近目标滑移率的FNN控制器。计算机仿真结果表明系统的控制精度、稳定性和对复杂工况的适应性都得到了提高。
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| 关 键 词： | 防滑 飞机刹车 仿真 神经网络 模糊神经网络 |
| 文章编号： | 1000-6893(2005)01-0116-05 |
| 收稿时间： | 2004-01-06 |
| 修稿时间： | 2004-01-06 |
Design of Aircraft Antiskid Brake System with ANN and FNN |
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| He Heng,WU Rui-xiang,HUANG Wei-ming. Design of Aircraft Antiskid Brake System with ANN and FNN[J]. Acta Aeronautica et Astronautica Sinica, 2005, 26(1): 116-120 |
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| Authors: | He Heng WU Rui-xiang HUANG Wei-ming |
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| Affiliation: | 1. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;2. China Research Institute of Aero-Accessories, Xiangfan 441052, China |
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| Abstract: | Slip ratio is important to antiskid brake system. To prevent serious skidding and obtain maximum friction coefficient, a design of intelligent brake system is presented. The system includes two parts: 1) A perfect slip ratio identifier constructed by ANN (artificial neural network) to get the real-time perfect slip ratio. 2) A FNN (fuzzy neural network) Controller to follow up with the target slip ratio. Computer simulation shows improvements of the system in precision, stability, robustness and adaptability to complicated work conditions. |
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| Keywords: | antiskid aircraft brake simulation neural network fuzzy-neural network |
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