NDLI: Application of Fuzzy Neural Network to Aero-Engine Controller Design

Content Provider	IEEE Xplore Digital Library
Author	Haiquan Wang Yingqing Guo Jun Lu
Copyright Year	2009
Abstract	Multivariable fuzzy neural network based on the onelayer network and Takaga-Sugeno fuzzy model was proposed in this paper where the parameters of the fuzzy rules and the inference process were all realized by neural network on-line, and the network was trained with the method of gradient descent. The presented method which possesses the ability of on-line learning and improving was applied to aero-engine accelerate process controller design, whose parameters vary significantly over the operation condition, the parameters of the controller were deduced real-time based on the change of the aero-engine condition with the adoption of single-layer network. An ECU-in-the-loop real-time simulation platform based on the rapid prototyping real-time simulation approach was constructed and the hardware-in-the-loop simulation was done with the aero-engine nonlinear component model, the results showed the well tracking and decouple as well as robust performance of the controller, meanwhile the effectivity of fuzzy neural network with the ability of self-learning and self improving has been proved.
Starting Page	450
Ending Page	453
File Size	337405
Page Count	4
File Format	PDF
ISBN	9781424455430
e-ISBN	9781424455447
DOI	10.1109/ICICIC.2009.109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-07
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Fuzzy sets Input variables Neural networks Fuzzy neural networks Error correction Acceleration Fuzzy reasoning Engines Fuzzy systems
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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