Data-Driven Model-Free Adaptive Control of Z-Source Inverters

The universal paradigm shift towards green energy has accelerated the development of modern algorithms and technologies, among them converters such as Z-Source Inverters (ZSI) are playing an important role. ZSIs are single-stage inverters which are capable of performing both buck and boost operation...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yasin Asadi, Amirhossein Ahmadi, Sasan Mohammadi, Ali Moradi Amani, Mousa Marzband, Behnam Mohammadi-ivatloo
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Z-source non-minimum phase data-driven model-free adaptive control uncertainties Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/c7833a31a56943a4980dda3e0cb927e8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c7833a31a56943a4980dda3e0cb927e8
record_format	dspace
spelling	oai:doaj.org-article:c7833a31a56943a4980dda3e0cb927e82021-11-25T18:56:28ZData-Driven Model-Free Adaptive Control of Z-Source Inverters10.3390/s212274381424-8220https://doaj.org/article/c7833a31a56943a4980dda3e0cb927e82021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7438https://doaj.org/toc/1424-8220The universal paradigm shift towards green energy has accelerated the development of modern algorithms and technologies, among them converters such as Z-Source Inverters (ZSI) are playing an important role. ZSIs are single-stage inverters which are capable of performing both buck and boost operations through an impedance network that enables the shoot-through state. Despite all advantages, these inverters are associated with the non-minimum phase feature imposing heavy restrictions on their closed-loop response. Moreover, uncertainties such as parameter perturbation, unmodeled dynamics, and load disturbances may degrade their performance or even lead to instability, especially when model-based controllers are applied. To tackle these issues, a data-driven model-free adaptive controller is proposed in this paper which guarantees stability and the desired performance of the inverter in the presence of uncertainties. It performs the control action in two steps: First, a model of the system is updated using the current input and output signals of the system. Based on this updated model, the control action is re-tuned to achieve the desired performance. The convergence and stability of the proposed control system are proved in the Lyapunov sense. Experiments corroborate the effectiveness and superiority of the presented method over model-based controllers including PI, state feedback, and optimal robust linear quadratic integral controllers in terms of various metrics.Yasin AsadiAmirhossein AhmadiSasan MohammadiAli Moradi AmaniMousa MarzbandBehnam Mohammadi-ivatlooMDPI AGarticleZ-sourcenon-minimum phasedata-drivenmodel-free adaptive controluncertaintiesChemical technologyTP1-1185ENSensors, Vol 21, Iss 7438, p 7438 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Z-source non-minimum phase data-driven model-free adaptive control uncertainties Chemical technology TP1-1185
spellingShingle	Z-source non-minimum phase data-driven model-free adaptive control uncertainties Chemical technology TP1-1185 Yasin Asadi Amirhossein Ahmadi Sasan Mohammadi Ali Moradi Amani Mousa Marzband Behnam Mohammadi-ivatloo Data-Driven Model-Free Adaptive Control of Z-Source Inverters
description	The universal paradigm shift towards green energy has accelerated the development of modern algorithms and technologies, among them converters such as Z-Source Inverters (ZSI) are playing an important role. ZSIs are single-stage inverters which are capable of performing both buck and boost operations through an impedance network that enables the shoot-through state. Despite all advantages, these inverters are associated with the non-minimum phase feature imposing heavy restrictions on their closed-loop response. Moreover, uncertainties such as parameter perturbation, unmodeled dynamics, and load disturbances may degrade their performance or even lead to instability, especially when model-based controllers are applied. To tackle these issues, a data-driven model-free adaptive controller is proposed in this paper which guarantees stability and the desired performance of the inverter in the presence of uncertainties. It performs the control action in two steps: First, a model of the system is updated using the current input and output signals of the system. Based on this updated model, the control action is re-tuned to achieve the desired performance. The convergence and stability of the proposed control system are proved in the Lyapunov sense. Experiments corroborate the effectiveness and superiority of the presented method over model-based controllers including PI, state feedback, and optimal robust linear quadratic integral controllers in terms of various metrics.
format	article
author	Yasin Asadi Amirhossein Ahmadi Sasan Mohammadi Ali Moradi Amani Mousa Marzband Behnam Mohammadi-ivatloo
author_facet	Yasin Asadi Amirhossein Ahmadi Sasan Mohammadi Ali Moradi Amani Mousa Marzband Behnam Mohammadi-ivatloo
author_sort	Yasin Asadi
title	Data-Driven Model-Free Adaptive Control of Z-Source Inverters
title_short	Data-Driven Model-Free Adaptive Control of Z-Source Inverters
title_full	Data-Driven Model-Free Adaptive Control of Z-Source Inverters
title_fullStr	Data-Driven Model-Free Adaptive Control of Z-Source Inverters
title_full_unstemmed	Data-Driven Model-Free Adaptive Control of Z-Source Inverters
title_sort	data-driven model-free adaptive control of z-source inverters
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c7833a31a56943a4980dda3e0cb927e8
work_keys_str_mv	AT yasinasadi datadrivenmodelfreeadaptivecontrolofzsourceinverters AT amirhosseinahmadi datadrivenmodelfreeadaptivecontrolofzsourceinverters AT sasanmohammadi datadrivenmodelfreeadaptivecontrolofzsourceinverters AT alimoradiamani datadrivenmodelfreeadaptivecontrolofzsourceinverters AT mousamarzband datadrivenmodelfreeadaptivecontrolofzsourceinverters AT behnammohammadiivatloo datadrivenmodelfreeadaptivecontrolofzsourceinverters
_version_	1718410552379703296

Data-Driven Model-Free Adaptive Control of Z-Source Inverters

Ejemplares similares