A Robust Adaptive Predictive Super-Twisting Sliding Mode controller for grid-tied converters

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

doi:10.1109/sepoc54972.2022.9976437

Cited by 3 publications

(1 citation statement)

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“…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%

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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Section: Simulation Resultsmentioning

confidence: 99%