Robust and stabilized MPC formulations for fault tolerant and reconfigurable flight control
Robust and stabilized MPC formulations for fault tolerant and reconfigurable flight control
Model Predictive Control (MPC) solves an optimization at every sampling instance to achieve commanded set-points and control objectives subject to constraints on control inputs and system states. Reconfigurable flight control is an application where the capabilities and flexibility of such optimization based control methods can be fully utilized and exploited. The online control optimization can incorporate many important factors to enable the control of systems subject to faults, changing dynamics, changing control objectives, failed control inputs and large disturbances. This paper presents formulations and experimental evaluations of various MPC schemes applied to a realistic full envelope non-linear model of a fighter aircraft. Investigations are carried out by exploring a variety of scenarios of fault and disturbance combinations along with modified and robust formulations of online constrained optimization
222 - 227
Kale, M.M.
5abb02f0-2e93-42a2-a9ab-95d44a9450b5
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
31 January 2005
Kale, M.M.
5abb02f0-2e93-42a2-a9ab-95d44a9450b5
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Kale, M.M. and Chipperfield, A.J.
(2005)
Robust and stabilized MPC formulations for fault tolerant and reconfigurable flight control.
In IEEE International Symposium on Intelligent Control - Proceedings.
IEEE.
.
(doi:10.1109/ISIC.2004.1387686).
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Conference or Workshop Item
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Abstract
Model Predictive Control (MPC) solves an optimization at every sampling instance to achieve commanded set-points and control objectives subject to constraints on control inputs and system states. Reconfigurable flight control is an application where the capabilities and flexibility of such optimization based control methods can be fully utilized and exploited. The online control optimization can incorporate many important factors to enable the control of systems subject to faults, changing dynamics, changing control objectives, failed control inputs and large disturbances. This paper presents formulations and experimental evaluations of various MPC schemes applied to a realistic full envelope non-linear model of a fighter aircraft. Investigations are carried out by exploring a variety of scenarios of fault and disturbance combinations along with modified and robust formulations of online constrained optimization
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Published date: 31 January 2005
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IEEE international symposium on Intelligent Control : Proceedings of the 2004 IEEE International Symposium on Intelligent Control, , Tapei, Taiwan, 2004-09-02 - 2004-09-04
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Local EPrints ID: 470189
URI: http://eprints.soton.ac.uk/id/eprint/470189
PURE UUID: fa4c47ed-7bcd-45a7-80ec-2ff8300e2863
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Date deposited: 04 Oct 2022 16:45
Last modified: 17 Mar 2024 02:56
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Author:
M.M. Kale
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