A Robust Adaptive Super-Twisting Sliding Mode Controller applied on grid-tied power converter with an LCL filter

Hollweg, Guilherme Vieira; Evald, Paulo Jefferson Dias de Oliveira; Tambara, Rodrigo Varella; Gründling, Hilton Abílio

doi:10.1016/j.conengprac.2022.105104

Cited by 43 publications

(39 citation statements)

References 37 publications

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“…It is important to remark that

{u}_{DR}

is not considered in the stability analysis, since the grid dynamics is rejected by estimation on point of common coupling voltages, considering its characteristics, which is periodic and stable, as made in References 56,57,63,64.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The simplification method is based on Reference 60, where the capacitor dynamics is neglected during controller design. This procedure was also used in References 56,57,62,65,66, aiming to reduce the quantity of parameters to design in their adaptive controllers, which depends on relative degree of chosen reference model that must be the same relative degree of the nominal part of the plant. Different from all these control strategies, the hybrid robust MRAC‐PI controller does not require a reference model, even being a direct adaptive controller, because it can track the reference signal straightforwardly.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The LCL transfer function for grid-injection current control is well-known in literature. 56,57 Therefore, its modeling will be omitted here. It is described as…”

Section: Simulation Resultsmentioning

confidence: 99%

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A hybrid robust model reference adaptive controller and proportional integral controller without reference model for partially modeled systems

Evald

Hollweg

Tambara

et al. 2023

Adaptive Control & Signal

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Summary This work presents the discrete‐time stability analysis of a hybrid robust model reference adaptive controller and proportional‐integral controller (MRAC‐PI) controller using Lyapunov criterion. The control structure merges the classical PI controller with a robust model reference adaptive control, resulting in an adaptive and robust control strategy, where the gains unite both control techniques in a unique structure and it does not require the design of a reference model, being able to track straightforwardly the reference signal. The adaptive gains are updated continuously by a modified gradient algorithm regarding control action, regulation error, and the system output. The stability analysis provides the controller design constraints, while also demonstrate the tendency of regulation error to a residual set, and proves the boundedness of all closed‐loop signals. Furthermore, as the controller is robust to unmodeled dynamics, it is feasible to control partially modeled systems. Simulation results in a real‐world engineering application are presented to corroborate the robustness of this controller and show its fast response in the face of critical exogenous system perturbations.

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“…It is important to remark that

{u}_{DR}

Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

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A hybrid robust model reference adaptive controller and proportional integral controller without reference model for partially modeled systems

Evald

Hollweg

Tambara

et al. 2023

Adaptive Control & Signal

Self Cite

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“…However, it is not explicitly modeled, as it can vary significantly depending on the specific conditions and characteristics of the local grid. 26 For current regulation of the grid-tied VSI with LCL filter, it is necessary to ensure that the measured currents are in phase with the grid voltage, maintaining the power flow from the DC bus to the grid (injection into the grid). Furthermore, voltage and current measurements are firstly read in abc coordinates and subsequently converted to 𝛼𝛽 coordinates by means of Clarke transformation.…”

Section: Vsi Model and Designmentioning

confidence: 99%

Optimized parametrization of adaptive controllers for enhanced current regulation in grid‐tied converters

Hollweg,

Evald,

Mattos

et al. 2023

Adaptive Control & Signal

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SummaryGrid‐connected converters play a significant role in renewable energy systems, acting as a crucial interface between the inverter and the electrical grid, often incorporating LCL filters. One of the primary challenges in controlling grid‐injected current is the grid uncertainty, which can have a direct impact on the resonance frequency of the LCL filter. Adaptive controllers are feasible to deal with this kind of situation. However, the setup of these controllers requires an experienced designer. This work proposes a novel approach for parametrization of adaptive controllers, as well as their gain initialization, using particle swarm optimization, considering performance indexes and stability constraints. The proposed approach improves the current tracking performance and avoids relevant overshoots during transient regimes. The experimental results of current regulation in a grid‐tied voltage source inverter with an LCL filter provide compelling evidence for the effectiveness of this method. The optimized control structure exhibits significantly lower regulation errors and demonstrates improved tracking dynamics when compared to non‐optimized control structures.

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“…Similarly, in ref. [16], a discrete‐time adaptive super‐twisting sliding mode controller is designed for the closed‐loop control of LCL‐type grid‐connected inverters. Regrettably, the modelling in this study oversimplifies the system by disregarding the capacitance fluctuation in the LCL coupling network.…”

Section: Introductionmentioning

confidence: 99%

Quasi‐Z based adaptive sliding mode control for three‐phase photovoltaic grid‐connected system

Chen,

Meng,

Yan

et al. 2023

IET Power Electronics

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Considering the non‐linear characteristics of both the input and output of photovoltaic (PV) modules and quasi‐Z‐source inverters, as well as the unpredictable natural factors such as large disturbances caused by changes in illumination and temperature, an average state model for the PV quasi‐Z‐source inverter is established. This paper uses the output current of photovoltaic module, DC‐link capacitor voltage and its integral as state variables, then an adaptive reaching law with second‐order sliding mode characteristics is designed by combining with power reaching law and variable speed reaching law. By using the sliding mode controller based on the adaptive reaching law to control the stability of the DC‐link voltage of the quasi‐Z‐source inverter and the small capacitor voltage ripple, the photovoltaic system can operate stably at the maximum power point when the temperature and illumination conditions change abruptly, and the grid‐connected effect is improved. Through SIMULINK and RT‐LAB real‐time simulation, the effectiveness of the proposed adaptive sliding mode control strategy is verified when the environment changes, which effectively improves the dynamic response speed and grid‐connected effect of the system, and ensures the global robustness of the grid‐connected system.

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A Robust Adaptive Super-Twisting Sliding Mode Controller applied on grid-tied power converter with an LCL filter

Cited by 43 publications

References 37 publications

A hybrid robust model reference adaptive controller and proportional integral controller without reference model for partially modeled systems

A hybrid robust model reference adaptive controller and proportional integral controller without reference model for partially modeled systems

Optimized parametrization of adaptive controllers for enhanced current regulation in grid‐tied converters

Quasi‐Z based adaptive sliding mode control for three‐phase photovoltaic grid‐connected system

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