Design of Linear Parameter Varying Quadratic Regulator in Polynomial Chaos Framework

We present a new theoretical framework for designing linear parameter varying controllers in the polynomial chaos framework. We assume the scheduling variable to be random and apply polynomial chaos approach to synthesize the controller for the resulting linear stochastic dynamical system. Two algor...

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Bibliographic Details
Published inarXiv.org
Main Authors Shao-Chen, Hsu, Bhattacharya, Raktim
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 07.11.2017
Subjects
Algorithms
Controllers
Design
Design parameters
Galerkin method
Polynomials
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Summary:We present a new theoretical framework for designing linear parameter varying controllers in the polynomial chaos framework. We assume the scheduling variable to be random and apply polynomial chaos approach to synthesize the controller for the resulting linear stochastic dynamical system. Two algorithms are presented that minimize the performance objective with respect to the stochastic system. The first algorithm is based on Galerkin projection and the second algorithm is based on stochastic collocation. LPV controllers from both the algorithms are shown to outperform classical LPV designs with respect to regulator design for nonlinear missile system.
ISSN:2331-8422