Abstract
Distributed parameter systems are, generally, described by a set of partial differential equations. Control design of these systems is a very complex task as compared to that of the lumped parameter systems that are defined by a set of ordinary differential equations. In this paper, we present a stabilizing state-feedback control design approach for a class of second order system, where the system can be controlled by discrete actuators in the spatial domain. The control methodology is developed by combining the technique of 'Proper Orthogonal Decomposition' and Approximate Dynamic Programming. The Proper Orthogonal Decomposition technique is utilized to obtain a low-order nonlinear lumped parameter model of the underlying infinite dimensional system. A sub-optimal state-feedback controller is, then, designed using the single-network adaptive-critic technique. A flexible aircraft wing model is used in this study to demonstrate the online implementation of the controller as designed from the presented methodology. © 2014 American Automatic Control Council.
Recommended Citation
M. Kumar and S. N. Balakrishnan, "Proper Orthogonal Decomposition Technique for Sub-optimal Control of Flexible Aircraft Wings using Discrete Actuators," Proceedings of the American Control Conference, pp. 2717 - 2722, article no. 6858746, Institute of Electrical and Electronics Engineers, Jan 2014.
The definitive version is available at https://doi.org/10.1109/ACC.2014.6858746
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Distributed parameter systems; Neural networks; Optimal control
International Standard Book Number (ISBN)
978-147993272-6
International Standard Serial Number (ISSN)
0743-1619
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2014
