Design of backstepping control for high‐performance inverter with stand‐alone and grid‐connected power‐supply modes

Wai, Rong‐Jong; Lin, Chun-Chu; Wu, Wenchuan; Huang, Hsin-Ning

doi:10.1049/iet-pel.2012.0579

Cited by 61 publications

(39 citation statements)

References 28 publications

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“…10-13 illustrate the resulting controller performances. It can be seen that the control performance deterioration is small compared to the 50% decrease in load resistance in 10 16 2, 0003 × 10 16 1, 4 × 10 13 10 9 5 × 10 4 out 6, 54 × 10 9 5, 58 × 10 8 10 9 3 × 10 6 3 × 10 3 uncertainty. In particular, Fig.13 shows that the DC link voltage regulation is recovered after a short transient period following the load change.…”

Section: B Control Performance In Presence Of Load Changesmentioning

confidence: 96%

“…[14]. iv The nonlinearity of the controlled system is accounted for in the controller design and analysis, whereas it is partly or totally ignored in previous controllers [15,16]. v Owing to its adaptive nature, the present controller is able to meet its control objectives despite the uncertainty that prevails on some parameters (grid impedance, UPS load), unlike in some previous works where all system parameters are supposed to be perfectly known [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Output‐Feedback Nonlinear Adaptive Control of Single‐Phase Half‐Bridge Ups Systems

Kissaoui

Abouloifa

Abouelmahjoub

et al. 2016

Asian Journal of Control

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We consider the problem of controlling single-phase half-bridge power converters in UPS systems operating in the presence of changing load. The control objective is twofold: (i) ensuring a satisfactory power factor correction (PFC) at the grid-UPS connection; (ii) guaranteeing a tight regulation of the DC bus voltage and the half-bridge inverter output voltage despite changes in load. The considered control problem entails several difficulties including: (i) the high dimension and strong nonlinearity of the system; (ii) the numerous state variables that are inaccessible to measurements; (iii) the uncertainty that prevails on some system parameters. The problem is dealt with using a multi-loop nonlinear adaptive control system that makes use of the backstepping design technique. The inner loop ensures the PFC objective and involves an adaptive observer estimating the grid voltage and impedance parameters. The intermediary loop regulates the inverter output voltage to its reference, which is a sinusoidal wave, and it also contains an observer estimating the current in the inverter coil. The outer loop regulates the DC bus voltage up to small size ripples. The controller performances are formally analyzed using system averaging theory.

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Section: B Control Performance In Presence Of Load Changesmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Output‐Feedback Nonlinear Adaptive Control of Single‐Phase Half‐Bridge Ups Systems

Kissaoui

Abouloifa

Abouelmahjoub

et al. 2016

Asian Journal of Control

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“…Yet, obtaining the control law requires a much greater computational effort . A backstepping control is used to benefit the stabilization of nonlinear terms in system dynamics . Nevertheless, it is characterized by the poor quality of the system output .…”

Section: Introductionmentioning

confidence: 99%

STA and SOSM control‐based approach of a renewable power generator for adjusting grid frequency and voltage

Krim

Abbes

Krim

et al. 2020

Int Trans Electr Energ Syst

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Summary This article is interested in a controlled three‐phased voltage source inverter (VSI) for a grid‐connected wind power generator. The objective consists of participating in auxiliary services by enhancing the grid stability. An active wind generator associated with a battery/super‐capacitor storage system composes the studied renewable generator. It is related to a power consumer (load) to form a microgrid (MG) that can work according to grid stability in two modes: standalone and grid‐tied. Thus, the principal objective of this study is to develop a robust control method for MG connection with the grid to ensure the grid voltage and frequency regulation. This control has two control tasks: First, an adaptive droop control is implemented to adjust power flows exchanged with the grid to ensure its stability. It regulates its voltage and frequency. Second, a sliding mode control (SMC) with super‐twisting algorithm is put forward for the VSI to improve the regulation of the grid voltage and frequency under uncertainties. It improves control results concerning the reduction of harmonics caused by sudden variations of the load and of powers exchanged with the grid. It allows preventing the phenomenon of chattering created by classical sliding mode technique. Extensive simulation studies are carried out under MATLAB/Simulink. They prove the effectiveness of the suggested droop and SMCs compared with the classical proportional‐integral controller.

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“…Hence, a large number of nonlinear control methods are introduced to solve problems of the nonlinearity and uncertainty of power converters [15][16][17][18][19][20][21]. As a kind approach of nonlinear control, the backstepping which is widely used in grid-connected system is considered to deal with the nonlinearity and uncertainty [20][21][22]. In [23], the backstepping controller is designed in the PV power supply system of telecommunication equipment.…”

Section: Introductionmentioning

confidence: 99%

A novel adaptive command-filtered backstepping sliding mode control for PV grid-connected system with energy storage

Wang

Yan

et al. 2019

Solar Energy

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2018) A novel adaptive command-filtere backstepping sliding mode control for PV grid-connected system with energy storage. Solar Energy,. ISSN 0038-092X. AbstractTo solve the problems of power fluctuation in the photovoltaic (PV) grid-connected system and the nonlinearity in the model of inverters, a projection-based adaptive backstepping sliding mode controller with command-filter is designed in the system, in order to adjust the DC-link voltage and the AC-side current in the PV grid-connected system. Firstly, the mathematic model of the inverter in PV system is established, then backstepping control method is applied to control it, and the command filter is added to the controller to eliminate the differential expansion of the backstepping controller. Furthermore, the adaptive law based on Lyapunov stability theory is designed to estimate the uncertain parameters in the grid-connected inverter. A projection algorithm is introduced in the adaptive controller due to the demand of guaranteeing the bounded estimated value. Additionally, a sliding mode controller is increased to improve its robustness in this system.With the consideration of the influence of irradiation and temperature changes, a battery-energy-storage-system is applied to the DC-side to suppress the fluctuation of output power of the PV system. Finally, the simulation results demonstrate that the presented strategy can control the grid connected inverter precisely.

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Design of backstepping control for high‐performance inverter with stand‐alone and grid‐connected power‐supply modes

Cited by 61 publications

References 28 publications

Output‐Feedback Nonlinear Adaptive Control of Single‐Phase Half‐Bridge Ups Systems

Output‐Feedback Nonlinear Adaptive Control of Single‐Phase Half‐Bridge Ups Systems

STA and SOSM control‐based approach of a renewable power generator for adjusting grid frequency and voltage

A novel adaptive command-filtered backstepping sliding mode control for PV grid-connected system with energy storage

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