| 非线性MIMO系统神经网络自适应方法及其在飞控中的应用 |
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| 引用本文： | 周煊,史忠科.非线性MIMO系统神经网络自适应方法及其在飞控中的应用[J].航空学报,1997,18(2):163-167. |
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| 作者姓名： | 周煊 史忠科 |
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| 作者单位： | 西北工业大学自动控制系 |
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| 基金项目： | 航空科学基金,航空自选课题基金 |
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| 摘 要： | 提出了一种非线性系统的对角自回归神经网络模型。为了实现MIMO系统自适应控制，采用自回归辨识网络对未知非线性系统进行辨识，并将被控对象的误差灵敏度信息用于对角自回归控制网络训练。辨识网络和控制网络都用动态BP算法训练。实际某型飞机纵向模型的仿真结果表明，运用这种控制结构可得到较好的控制效果。
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| 关 键 词： | 神经网络 自适应控制系统 动态BP算法 |
NEURAL NETWORK BASED ADAPTIVE METHOD FOR MIMO NONLINEAR SYSTEM AND ITS APPLICATION TO FLIGHT CONTROL |
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| Zhou Xuan,Shi Zhongke.NEURAL NETWORK BASED ADAPTIVE METHOD FOR MIMO NONLINEAR SYSTEM AND ITS APPLICATION TO FLIGHT CONTROL[J].Acta Aeronautica et Astronautica Sinica,1997,18(2):163-167. |
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| Authors: | Zhou Xuan Shi Zhongke |
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| Institution: | Department of Automatic Control,Northwestern Polytechnical University, Xian, 710072 |
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| Abstract: | A method is presented for controlling unknown nonlinear MIMO systems by using diagonal recurrent neural network (DRNN). In this controlling scheme, unknown nonlinear plant is identified by a diagonal recurrent neuroidentifier (DRNI), and the sensitivity information of the plant is provided to a diagonal recurrent neurocontroller(NRNC). A dynamic backpropagation algorithm(DBP) is used to train DRNC and DRNI. The proposed approach is applied to a flight control system and the simulation results are included. |
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| Keywords: | neural network adaptive control system dynamic backpropagation algorithm |
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