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Published in:
2012 | OriginalPaper | Chapter
Research of Neural Network PID Control of Aero-engine
Authors : Haiquan Wang, Dongyun Wang, Guotao Zhang
Published in: Advances in Automation and Robotics, Vol.1
Publisher: Springer Berlin Heidelberg
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In order to complete the full flight envelope control of aeroengine, neural network PID control method with excellent self-learning and adaptive capability is introduced in this paper. Through the online learning algorithm with the principle of gradient descent method, the PID controller parameters, as the outputs of neural network, can be adjusted to overcome the influence of engine condition changing. The simulation results show the well tracking performance and robust performance of the designed control system, it is suitable for aero-engine control.