A Two-Staged Optimization Approach to Modulated Model-Free Predictive Current Control for <italic>RL</italic>-Connected Three-Phase Two-Level Four-Leg Inverters

This paper proposes a modulated model-free predictive current controller for three-phase two-level four-leg <italic>RL</italic>-connected inverters based on a two-staged optimization. The proposed scheme is model-free and does not require any knowledge of system parameters nor the load m...

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Autores principales:	Cheng-Kai Lin, Jen-Te Yu, Crestian Almazan Agustin, Nong-Yi Li
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Duty ratio modulation four-leg inverter modulated model-free predictive current control two-staged optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/9f85f641a81d40128062a981c7bce6ce
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spelling	oai:doaj.org-article:9f85f641a81d40128062a981c7bce6ce2021-11-18T00:10:42ZA Two-Staged Optimization Approach to Modulated Model-Free Predictive Current Control for <italic>RL</italic>-Connected Three-Phase Two-Level Four-Leg Inverters2169-353610.1109/ACCESS.2021.3124371https://doaj.org/article/9f85f641a81d40128062a981c7bce6ce2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9594796/https://doaj.org/toc/2169-3536This paper proposes a modulated model-free predictive current controller for three-phase two-level four-leg <italic>RL</italic>-connected inverters based on a two-staged optimization. The proposed scheme is model-free and does not require any knowledge of system parameters nor the load model to perform current predictions. To improve current prediction accuracy, two input voltage vectors are linearly modulated in every sampling period, doubling the current difference calculation and update frequency. Moreover, the input voltage vectors are independently chosen and optimized in each stage using the integrated approach of cost function minimization and duty ratio optimization, known as the two-staged process. The obtained vectors are adaptive and modulated with variable durations. The proposed method is implemented in a drive circuit using TMS320F28379D and put to tests under various loading conditions of steady-state, dynamic, and parameter mismatch. Results from simulations and experiments demonstrate the feasibility of the proposed method.Cheng-Kai LinJen-Te YuCrestian Almazan AgustinNong-Yi LiIEEEarticleDuty ratio modulationfour-leg invertermodulated model-free predictive current controltwo-staged optimizationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 147537-147548 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Duty ratio modulation four-leg inverter modulated model-free predictive current control two-staged optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Duty ratio modulation four-leg inverter modulated model-free predictive current control two-staged optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971 Cheng-Kai Lin Jen-Te Yu Crestian Almazan Agustin Nong-Yi Li A Two-Staged Optimization Approach to Modulated Model-Free Predictive Current Control for <italic>RL</italic>-Connected Three-Phase Two-Level Four-Leg Inverters
description	This paper proposes a modulated model-free predictive current controller for three-phase two-level four-leg <italic>RL</italic>-connected inverters based on a two-staged optimization. The proposed scheme is model-free and does not require any knowledge of system parameters nor the load model to perform current predictions. To improve current prediction accuracy, two input voltage vectors are linearly modulated in every sampling period, doubling the current difference calculation and update frequency. Moreover, the input voltage vectors are independently chosen and optimized in each stage using the integrated approach of cost function minimization and duty ratio optimization, known as the two-staged process. The obtained vectors are adaptive and modulated with variable durations. The proposed method is implemented in a drive circuit using TMS320F28379D and put to tests under various loading conditions of steady-state, dynamic, and parameter mismatch. Results from simulations and experiments demonstrate the feasibility of the proposed method.
format	article
author	Cheng-Kai Lin Jen-Te Yu Crestian Almazan Agustin Nong-Yi Li
author_facet	Cheng-Kai Lin Jen-Te Yu Crestian Almazan Agustin Nong-Yi Li
author_sort	Cheng-Kai Lin
title	A Two-Staged Optimization Approach to Modulated Model-Free Predictive Current Control for <italic>RL</italic>-Connected Three-Phase Two-Level Four-Leg Inverters
title_short	A Two-Staged Optimization Approach to Modulated Model-Free Predictive Current Control for <italic>RL</italic>-Connected Three-Phase Two-Level Four-Leg Inverters
title_full	A Two-Staged Optimization Approach to Modulated Model-Free Predictive Current Control for <italic>RL</italic>-Connected Three-Phase Two-Level Four-Leg Inverters
title_fullStr	A Two-Staged Optimization Approach to Modulated Model-Free Predictive Current Control for <italic>RL</italic>-Connected Three-Phase Two-Level Four-Leg Inverters
title_full_unstemmed	A Two-Staged Optimization Approach to Modulated Model-Free Predictive Current Control for <italic>RL</italic>-Connected Three-Phase Two-Level Four-Leg Inverters
title_sort	two-staged optimization approach to modulated model-free predictive current control for <italic>rl</italic>-connected three-phase two-level four-leg inverters
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/9f85f641a81d40128062a981c7bce6ce
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A Two-Staged Optimization Approach to Modulated Model-Free Predictive Current Control for <italic>RL</italic>-Connected Three-Phase Two-Level Four-Leg Inverters

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