Robust LQR Control for PWM Converters with Parameter-Dependent Lyapunov Functions

This paper presents a novel framework for robust linear quadratic regulator (LQR)-based control of pulse-width modulated (PWM) converters. The converter is modeled as a linear parameter-varying (LPV) system and the uncertainties, besides their rate of change, are taken into account. The proposed con...

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Main Authors: Nedia Aouani, Carlos Olalla
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/21/7534
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author Nedia Aouani
Carlos Olalla
author_facet Nedia Aouani
Carlos Olalla
author_sort Nedia Aouani
collection DOAJ
description This paper presents a novel framework for robust linear quadratic regulator (LQR)-based control of pulse-width modulated (PWM) converters. The converter is modeled as a linear parameter-varying (LPV) system and the uncertainties, besides their rate of change, are taken into account. The proposed control synthesis method exploits the potential of linear matrix inequalities (LMIs), assuring robust stability whilst obtaining non-conservative results. The method has been validated in a PWM DC–DC boost converter, such that it has been shown, with the aid of simulations, that improved robustness and improved performance properties can be achieved, with respect to previously proposed approaches.
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spelling doaj.art-187bfa3112054e8993be7ceddb724e682023-11-20T18:36:08ZengMDPI AGApplied Sciences2076-34172020-10-011021753410.3390/app10217534Robust LQR Control for PWM Converters with Parameter-Dependent Lyapunov FunctionsNedia Aouani0Carlos Olalla1Research Unit of System Analysis and Control, National School Engineering of Tunis, B.P. 37, Le Belvédère, Tunis 1002, TunisiaDepartament d’Enginyeria Elèctrica, Electrònica i Automàtica, Universitat Rovira i Virgili, 43007 Tarragona, SpainThis paper presents a novel framework for robust linear quadratic regulator (LQR)-based control of pulse-width modulated (PWM) converters. The converter is modeled as a linear parameter-varying (LPV) system and the uncertainties, besides their rate of change, are taken into account. The proposed control synthesis method exploits the potential of linear matrix inequalities (LMIs), assuring robust stability whilst obtaining non-conservative results. The method has been validated in a PWM DC–DC boost converter, such that it has been shown, with the aid of simulations, that improved robustness and improved performance properties can be achieved, with respect to previously proposed approaches.https://www.mdpi.com/2076-3417/10/21/7534uncertaintyPWM convertersLQRLMIsrobustnessperformance
spellingShingle Nedia Aouani
Carlos Olalla
Robust LQR Control for PWM Converters with Parameter-Dependent Lyapunov Functions
Applied Sciences
uncertainty
PWM converters
LQR
LMIs
robustness
performance
title Robust LQR Control for PWM Converters with Parameter-Dependent Lyapunov Functions
title_full Robust LQR Control for PWM Converters with Parameter-Dependent Lyapunov Functions
title_fullStr Robust LQR Control for PWM Converters with Parameter-Dependent Lyapunov Functions
title_full_unstemmed Robust LQR Control for PWM Converters with Parameter-Dependent Lyapunov Functions
title_short Robust LQR Control for PWM Converters with Parameter-Dependent Lyapunov Functions
title_sort robust lqr control for pwm converters with parameter dependent lyapunov functions
topic uncertainty
PWM converters
LQR
LMIs
robustness
performance
url https://www.mdpi.com/2076-3417/10/21/7534
work_keys_str_mv AT nediaaouani robustlqrcontrolforpwmconverterswithparameterdependentlyapunovfunctions
AT carlosolalla robustlqrcontrolforpwmconverterswithparameterdependentlyapunovfunctions