NDLI: Improved Fault Tolerance for Autolanding Using Adaptive Backstepping Neural Controller

Content Provider	IEEE Xplore Digital Library
Author	Naikal, N.S. Panikkar, R. Pashilkar, A.A. Nagaraj, R.
Copyright Year	2007
Abstract	This paper presents a neural-aided controller that enhances the fault tolerant capabilities of a high performance fighter aircraft during the landing phase when subjected to severe winds and failures such as stuck control surfaces. The neural network scheme herein is called adaptive backstepping neural controller (ABNC). In this study we have combined ABNC along with the classical controller to enhance the failure tolerance of the latter using the feedback error-learning paradigm due to Gomi and Kawato. The ABNC controller uses radial basis function neural networks with on-line learning without prior training. Information about actuator failures is not available to the controller for use in reconfiguration. The baseline controller required for the feedback error learning has been designed using a classical design approach to achieve the desired autonomous landing profile with tight touchdown dispersions called therein as the pillbox. The baseline design is capable of meeting touchdown requirements in severe winds but is not specifically designed for failures. The performance of the classical design augmented with the ABNC based neural controller is studied in detail for predefined failure scenarios. The failures considered in this study are: i. Single faults of either aileron or elevator stuck at certain deflections and ii. Combination fault for both one aileron and one elevator stuck at different deflections. A hard over failure of particular interest in this study is that of both the ailerons being stuck at particular deflections. Simulation studies indicate that the neural controller aids the baseline controller, significantly enhancing the fault-tolerance envelope.
Starting Page	1203
Ending Page	1208
File Size	440653
Page Count	6
File Format	PDF
ISBN	9781424404421
ISSN	10851992
DOI	10.1109/CCA.2007.4389399
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-01
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault tolerance Programmable control Adaptive control Backstepping Neurofeedback Error correction Elevators Aerospace control Military aircraft Neural networks
Content Type	Text
Resource Type	Article

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