| 模糊神经网络控制器在飞行器姿态控制中的应用 |
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| 引用本文： | 于凤仙,连华,张力军.模糊神经网络控制器在飞行器姿态控制中的应用[J].航天控制,1999(1). |
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| 作者姓名： | 于凤仙 连华 张力军 |
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| 作者单位： | 北京航空航天大学 |
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| 摘 要： | 基于ＡＫａｗａｍｕｒａ等人提出的Ｎｅｕｒａｌ－Ｆｕｚｙ协作系统概念［１］，根据模糊系统的结构，确定等价结构的神经网络。网络保留了模糊控制系统的优点，空间结构清晰，同时具有学习功能，并介绍了采用多层神经网络表达模糊控制系统的知识规则、模糊推理和学习算法，给出了控制某导弹纵向姿态的仿真结果，结果表明该控制系统具有较强的鲁棒性。
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| 关 键 词： | 模糊控制系统 神经网络 姿态控制 |
The Application of the Fuzzy-Neural Network Controller of the Flighter Pose Control |
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| Yu Fengxian\ Lian Hua\ Zhang lijun Beijing University of Aeronautics & Astronautics,Beijing.The Application of the Fuzzy-Neural Network Controller of the Flighter Pose Control[J].Aerospace Control,1999(1). |
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| Authors: | Yu Fengxian\ Lian Hua\ Zhang lijun Beijing University of Aeronautics & Astronautics Beijing |
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| Institution: | Yu Fengxian\ Lian Hua\ Zhang lijun Beijing University of Aeronautics & Astronautics,Beijing 100083 |
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| Abstract: | This paper presents a kind of neural network with equal hierarchy according to the structure of the fuzzy system, based on the neural-fuzzy cooperative system conceptA. Kawamura, et, al.]. This network reserves the advantage of the fuzzy control and its special structure is distinct and has learning skills. The knowledge rules, fuzzy deduction and learning algorithm of the fuzzy control system are illustrated by multi-hierarchy neural network. The simulation of the control of the missile lateral pose has proved the control system has a strong robustness. |
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| Keywords: | Fuzzy control system\ *Neural network Attitude control |
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