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Nonlinear control of an air-breathing engine including its validation with vehicle guidance

Maity, Arnab and Rajasekaran, Jagannath and Padhi, Radhakant (2015) Nonlinear control of an air-breathing engine including its validation with vehicle guidance. In: AEROSPACE SCIENCE AND TECHNOLOGY, 45 . pp. 242-253.

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Official URL: http://dx.doi.org/10.1016/j.ast.2015.05.015

Abstract

An implementable nonlinear control design approach is presented for a supersonic air-breathing ramjet engine. The primary objective is to ensure that the thrust generated by the engine tracks the commanded thrust without violating the operational constraints. An important constraint is to manage the shock wave location in the intake so that it neither gets detached nor gets too much inside the intake. Both the objectives are achieved by regulating the fuel flow to the combustion chamber and by varying the throat area of the nozzle simultaneously. The design approach accounts for the nonlinear cross-coupling effects and nullifies those. Also, an extended Kalman filter has been used to filter out the sensor and process noises as well as to make the states available for feedback. Furthermore, independent control design has been carried out for the actuators. To test the performance of the engine for a realistic flight trajectory, a representative trajectory is generated through a trajectory optimization process, which is augmented with a newly-developed finite-time state dependent Riccati equation technique for nullifying the perturbations online. Satisfactory overall performance has been obtained during both climb and cruise phases. (C) 2015 Elsevier Masson SAS. All rights reserved.

Item Type: Journal Article
Publication: AEROSPACE SCIENCE AND TECHNOLOGY
Publisher: ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
Additional Information: Copy right for this article belongs to the ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER, 23 RUE LINOIS, 75724 PARIS, FRANCE
Keywords: Air-breathing engine control; Nonlinear control; Extended Kalman filter; State dependent Riccati equation
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited: 01 Oct 2015 04:39
Last Modified: 01 Oct 2015 04:39
URI: http://eprints.iisc.ac.in/id/eprint/52475

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