Simulator Based Evaluation for Helicopter Load Factor Limit Avoidance with Concurrent Learning

Zeynep Unal; Gonenc Gursoy; Ilkay Yavrucuk

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CEAS EuroGNC 2019

Simulator Based Evaluation for Helicopter Load Factor Limit Avoidance with Concurrent Learning

Zeynep Unal	Middle East Technical University, Ankara, Turkey
Gonenc Gursoy	Aerotim Engineering L. L. C., Ankara, Turkey
Ilkay Yavrucuk	Middle East Technical University, Ankara, Turkey

Abstract:
A neural network based adaptive limit detection algorithm concurrent learning is used in a simulator environment with an active side stick interceptor to test limit avoidance algorithms. The simulator environment uses a generic utility helicopter model, an active side stick controller and a generic engineering development cockpit. The active interceptor is used to give tactile cues to the pilot based on control margin predictions. In this paper the load factor limit for a fly-by-wire helicopter is studied. The adaptive limit detection algorithm uses Linearly Parameterized and Single Hidden Layer Neural Networks to estimate allowable control travels for the longitudinal cyclic input.

Keywords: Aircraft flight control analysis and design; Artificial neural network

View PDF CEAS-GNC-2019-002

Zeynep Unal, Gonenc Gursoy, Ilkay Yavrucuk: Simulator Based Evaluation for Helicopter Load Factor Limit Avoidance with Concurrent Learning. Proceedings of the 2019 CEAS EuroGNC conference. Milan, Italy. April 2019. CEAS-GNC-2019-002.

BibTeX entry:

@Incollection{CEAS-GNC-2019-002,

    authors = {Unal, Zeynep and Gursoy, Gonenc and Yavrucuk, Ilkay},

    title = {Simulator Based Evaluation for Helicopter Load Factor Limit Avoidance with Concurrent Learning},

    booktitle = {Proceedings of the 2019 {CEAS EuroGNC} conference},

    address = {Milan, Italy},

    month = apr,

    year = {2019},

    note = {CEAS-GNC-2019-002}

}