Model predictive control architecture for rotorcraft inverse simulation

Avanzini, G., Thomson, D. and Torasso, A. (2013) Model predictive control architecture for rotorcraft inverse simulation. Journal of Guidance, Control, and Dynamics, 36(1), pp. 207-217. (doi: 10.2514/1.56563)

75035.pdf - Accepted Version



A novel inverse simulation scheme is proposed for applications to rotorcraft dynamic models. The algorithm adopts an architecture that closely resembles that of a model predictive control scheme, where the controlled plant is represented by a high-order helicopter model. A fast solution of the inverse simulation step is obtained on the basis of a lower-order, simplified model. The resulting control action is then propagated forward in time using the more complex one. The algorithm compensates for discrepancies between the models by updating initial conditions for the inverse simulation step and introducing a simple guidance scheme in the definition of the tracked output variables. The proposed approach allows for the assessment of handling quality potential on the basis of the most sophisticated model, while keeping model complexity to a minimum for the computationally more demanding inverse simulation algorithm. The reported results, for an articulated blade, single main rotor helicopter model, demonstrate the validity of the approach.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Thomson, Dr Douglas and Avanzini, Dr Giulio
Authors: Avanzini, G., Thomson, D., and Torasso, A.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:Journal of Guidance, Control, and Dynamics
Publisher:American Institute of Aeronautics and Astronautics
ISSN (Online):1533-3884
Copyright Holders:Copyright © 2013 American Institute of Aeronautics and Astronautics, Inc
First Published:First published in Journal of Guidance, Control, and Dynamics 36(1):207-217
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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