| 航空发动机自适应神经网络PID控制 |
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| 引用本文： | 蒋衍君,黄金泉.航空发动机自适应神经网络PID控制[J].航空动力学报,2000,15(3):334-336. |
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| 作者姓名： | 蒋衍君 黄金泉 |
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| 作者单位： | 南京航空航天大学203教研室,江苏,南京,210016 |
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| 基金项目： | 航空基金，教育部留学回国人员科研启动基金，99C52027，，， |
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| 摘 要： | 本文提出了一种航空发动机多变量自适应神经网络PID控制方法,采用基于共轭梯度的神经网络学习算法在线整定控制器参数.该控制器的设计无需知道发动机精确模型,具有响应速度快、抗干扰能力强和鲁棒性好等优点.控制器不仅算法简单,实现容易,而且适用范围广.
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| 关 键 词： | 航空发动机 神经网络 多变量控制 自适应控制 |
| 收稿时间： | 9/1/1999 12:00:00 AM |
| 修稿时间： | 1999-09-01 |
Adaptive Neural Network PID Control for an Aeroengine |
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| Jiang Yanjun and Huang Jinquan.Adaptive Neural Network PID Control for an Aeroengine[J].Journal of Aerospace Power,2000,15(3):334-336. |
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| Authors: | Jiang Yanjun and Huang Jinquan |
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| Institution: | 2nd Dept.NanJing University of Aeronautics and Astronautics,Nanjing 210016,China;2nd Dept.NanJing University of Aeronautics and Astronautics,Nanjing 210016,China |
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| Abstract: | A multivariable adaptive neural network PID control scheme is proposed for a turbofan engine.The parameters of the controller are adjusted by on line conjugate gradient method.The precise model of the engine is not necessary for the design of the control system.The designed controller has many advantages such as fast response,strong interference free ability and good robustness.The control algorithm is simple,easy to realize and adaptable to full flight envelope. |
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| Keywords: | aeroengines neural networks |
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