A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model

WANG Li feng; LI Zheng xi

Volume 18 Issue 5

Oct. 2003

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WANG Li feng, LI Zheng xi. A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model[J]. Journal of Aerospace Power, 2003, 18(5): 705-708.

Citation:

WANG Li feng, LI Zheng xi. A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model[J]. Journal of Aerospace Power, 2003, 18(5): 705-708.

WANG Li feng, LI Zheng xi. A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model[J]. Journal of Aerospace Power, 2003, 18(5): 705-708.

Citation:

WANG Li feng, LI Zheng xi. A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model[J]. Journal of Aerospace Power, 2003, 18(5): 705-708.

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A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model

North China University of Technology,Beijing 100041,China

Received Date: 2003-03-18
Rev Recd Date: 2003-05-23
Publish Date: 2003-10-28

Abstract

Abstract

To build a precise model is a key technique to aeroengine adaptive control.A rapid learning algorithm of feedforward neural network for identification of aeroengine model is presented in the paper.By contrast with similar algorithms,the present approach employs the decomposition of Matrix QR to solve a set of linear equations.As a result,inversing of huge matrix inverse and fuzzy solutions can be avoided.The algorithm was applied to the aeroengine nonlinear model identification,and validated by the simulation results of the calculation samples.
- aerospace propulsion system,
- neural networks,
- learning algorithm,
- engine model,
- model identification