NDLI: Fault tolerant flight controller using minimal resource allocating neural networks (MRAN)

Content Provider	IEEE Xplore Digital Library
Author	Li Yan Sundararajan, N. Saratchandran, P.
Copyright Year	1999
Description	Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore (Li Yan)
Abstract	Presents the application of the minimal radial basis function neural networks called minimal resource allocation neural networks (MRAN) for fault-tolerant flight controller design. Based on a study of different architectures for neural control, a simple architecture in which the MRAN controller is aiding a conventional controller is proposed. The main advantage in this scheme is that it requires no off-line training for the neural network and the scheme has good fault tolerant capabilities. The MRAN controller is illustrated for a F8 fighter aircraft longitudinal control in an autopilot mode for following velocity and pitch rate pilot commands under large parameter variations and sudden variations in actuator time constants. Results indicate that MRAN controller exhibits better performance than an earlier suggested feed forward inverse neural controller using gradient learning scheme.
Starting Page	2605
Ending Page	2609
File Size	443258
Page Count	5
File Format	PDF
ISBN	0780349903
ISSN	07431619
DOI	10.1109/ACC.1999.786538
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-06-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Fault tolerance Resource management Neural networks Neurocontrollers Aerospace control Neurons Aerospace engineering Design engineering Velocity control Actuators
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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