Fault toleranat neuro/neuro-fuzzy controllers for aircraft auto landing with actuator failures and severe winds

Pashilkar, A. A and Haijun, Rong and Sundararajan, N and Saratchandran, P (2011) Fault toleranat neuro/neuro-fuzzy controllers for aircraft auto landing with actuator failures and severe winds. In: Symposium on Applied Aerodynamics and Design of Aerospace Vehicle (SAROD 2011), November 16-18, 2011, Bangalore, India.

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    Abstract

    In this talk, we will cover some recent work carried out in our group for developing intelligent flight controllers which can handle failures and also flying under severe winds. Using neural networks and also fuzzy neural networks the controllers are able to handle actuator failures and able to perform similar to those under normal conditions. Specifically, we will look at 1. Neural-aided controller 2. Fuzzy-neural aided controller and 3. Adaptive back stepping neural controller architectures for handling failures under severe winds for an aircraft auto-landing problem. The results indicate that good fault tolerant capabilities can be provided for existing controllers without adding more complexities and computational overhead.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: AERONAUTICS > Aircraft Stability and Control
    Division/Department: Flight Mechanics and Control Division, Other, Other, Other
    Depositing User: Mrs Manoranjitha M D
    Date Deposited: 15 Dec 2011 16:03
    Last Modified: 03 Aug 2012 16:25
    URI: http://nal-ir.nal.res.in/id/eprint/10153

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