Adaptive vector control for voltage source converters

Milasi, Rasoul M.; Lynch, Alan F.; Li, Yunwei

doi:10.1049/iet-cta.2011.0785

Cited by 16 publications

(11 citation statements)

References 24 publications

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“…The stability of the closed-loop voltage dynamics with this controller can be shown using the Lyapunov gradient method [22]. Block diagram of classical vector control is depicted in Fig.…”

Section: B Outer Loop Controlmentioning

confidence: 99%

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Adaptive PI control of a three phase AC/DC PWM converter

Milasi

Moallem

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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In this work, an adaptive control of a three phase ac/dc converter is investigated. The classical vector control method has been extensively used for the control of the ac/dc converter in different applications but the design gains are highly dependent on the system parameters. We employed an adaptive PI control method to cope with the system uncertainties. The method relies on a third order model of the converter. The simulation results con rm the good performance of the adaptive method in comparison with the established vector control method for dc voltage regulation and power factor correction.

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“…The stability of the closed-loop voltage dynamics with this controller can be shown using the Lyapunov gradient method [22]. Block diagram of classical vector control is depicted in Fig.…”

Section: B Outer Loop Controlmentioning

confidence: 99%

“…1. An ac-dc converter used for charging a capacitor or running a motor of the VSC in the d-q frame can be obtained as follows [11], [13], [22] …”

Section: Introductionmentioning

confidence: 99%

Adaptive PI control of a three phase AC/DC PWM converter

Milasi

Moallem

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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“…The use of VSR requires incorporation of control system to achieve high performance. Voltage-oriented control (VOC) is the most classical method for VSR control (Rashid, 2003;Milasi et al, 2013;Antoniewicz and Kazmirkowski, 2008). This decoupled scheme, originally proposed in (Schauder and Mehta, 1993), uses two proportional-integral (PI) controllers in an inner loop to track current references and one PI controller in an outer loop to regulate dc voltage.…”

Section: Introductionmentioning

confidence: 99%

“…However, this relevant subject has not let to a large number of specific studies. Some works propose a methods based on recursive least squares algorithm (Arriagada, 2003) and Lyapunov's function (Milasi et al, 2013) for inductance identification. Analytic and iterative methods are also presented in (Norniella et al, 2011) for inductance estimation.…”

Section: Introductionmentioning

confidence: 99%

Adaptive ac filter parameters identification for voltage-oriented control of three-phase voltage-source rectifiers

Bechouche¹,

Seddiki²,

Abdeslam³

et al. 2015

IJMIC

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This paper proposes an adaptive voltage-oriented control (VOC) with online ac filter parameters identification for three-phase voltage-source rectifier (VSR). A new method based on adaptive linear neuron (ADALINE) is first designed to identify the ac filter parameters. For accurate identification, the VSR nonlinearity are included in the ADALINE structure. Thereafter, the developed ADALINE is inserted in the VOC to realize an adaptive VOC. Thus, the decoupled terms and the proportional-integral current controller gains are updated online. Finally, the ADALINE ability to track properly the ac filter parameters is investigated by experimental analysis. It shows that the VSR nonlinearity consideration has significant influence on the resistance identification. Compared to the VOC, the enhancement of the proposed adaptive VOC is experimentally proved. The originality of this paper is the building of a VSR model including VSR nonlinearity that is suitable for implementation with ADALINE. This leads to ease implementation and accurate identification.

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“…However, the closed-loop control systems provide a high improvement in the dynamic performance of VSCs. The closed-loop control systems can utilize different control strategies such as state-space, predictive, adaptive, non-linear, robust and optimal controls [2][3]. For a closed-loop control of a VSC, the desired voltage, current or power parameters at the output of the VSC should be monitored in real-time using proper sensors.…”

Section: Introductionmentioning

confidence: 99%

Application notes and recommendations on using TMS320F28335 digital Signal Processor to control voltage source converters

Barbieri

Chandrasena

Shahnia

et al. 2014

2014 Australasian Universities Power Engineering Conference (AUPEC)

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Abstract-This paper presents general recommendations on utilizing TMS320F28335 Digital Signal Controller (DSC) as the controller for Voltage Source Converters (VSC). First, a comparison is provided on different DSCs that can be used for such applications and the reasons for selecting this specific Texas Instrument device are discussed. Later, the strategy for realtime algorithm developed in the DSC, also referred to as digital Signal Processor (DSP) is explained and its main features that are used for VSC control are described. Some new functions are developed and their characteristics and specifications are summarized. The paper also presents a discussion on the most probable difficulties when programming the DSC/DSP for VSC control applications followed by some improvement methods proposed for tackling these difficulties.

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Adaptive vector control for voltage source converters

Cited by 16 publications

References 24 publications

Adaptive PI control of a three phase AC/DC PWM converter

Adaptive PI control of a three phase AC/DC PWM converter

Adaptive ac filter parameters identification for voltage-oriented control of three-phase voltage-source rectifiers

Application notes and recommendations on using TMS320F28335 digital Signal Processor to control voltage source converters

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