航空发动机自适应神经网络PID控制
Adaptive Neural Network PID Control for an Aeroengine
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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。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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Key words:
- aeroengines /
- neural networks /
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