| 航空发动机多变量三层神经网络控制 |
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| 引用本文： | 黄金泉,蔡红武,孙健国.航空发动机多变量三层神经网络控制[J].航空动力学报,1999,14(2):191-194,222. |
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| 作者姓名： | 黄金泉 蔡红武 孙健国 |
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| 作者单位： | 南京航空航天大学 |
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| 摘 要： | 提出了一种发动机多变量神经网络控制方法。采用三层前向神经网络对非线性项进行补偿，神经网络权重自适应律采用在线学习算法。控制系统的设计不需要知道精确模型，适应于全飞行包线。仿真研究表明发动机多变量神经网络控制具有良好的动、静态性能。
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| 关 键 词： | 航空发动机 神经网络 多变量控制 |
| 收稿时间： | 6/1/1998 12:00:00 AM |
| 修稿时间： | 1998/12/1 0:00:00 |
MULTIVARIABLE CONTROL FOR AEROENGINE WITH 3-LAYER NEURAL NETWORKS |
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| Huang Jinquan,Chai Hongwu and Sun Jianguo.MULTIVARIABLE CONTROL FOR AEROENGINE WITH 3-LAYER NEURAL NETWORKS[J].Journal of Aerospace Power,1999,14(2):191-194,222. |
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| Authors: | Huang Jinquan Chai Hongwu and Sun Jianguo |
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| Institution: | 2nd Dept.Nanjing University of Aeronautics and Astronautics, Nanjing 210016;2nd Dept.Nanjing University of Aeronautics and Astronautics, Nanjing 210016;2nd Dept.Nanjing University of Aeronautics and Astronautics, Nanjing 210016 |
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| Abstract: | A multivariable neural network adaptive control is provided for a turbofan engine.The nonlinear system is compensated dynamically by a 3-layer neural network.An on-line weight-tuning algorithm with simplified Hebbian rule and e-modification is worked out to guarantee tracking performance as well as bounded weights without off-line training.The precise model of the engine is not necessary for design of control system.The multivariable control system has satisfactory performance for the full flight envelope with good adaptation and robustness. Simulation results show satisfactory dynamic and static performance within the whole flight envelope and good effectiveness of reducing interaction in the multivariable system with significant coupling. |
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| Keywords: | Aeroengine Neural networks Multivariable control |
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