Maximum power extraction on wind turbine systems using block‐backstepping with gradient dynamics control

DOI10.1002/acs.2733zbMath1366.93292OpenAlexW2526174745MaRDI QIDQ4976363

Fernando Jaramillo-Lopez, Françoise Lamnabhi-Lagarrigue, Godpromesse Kenné

Publication date: 28 July 2017

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2733

zbMATH Keywords

adaptive controlnonlinear systemsrenewable energy systemswind speed estimationwind turbine systemsmodel-based extremum-seeking algorithms

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Adaptive or robust stabilization (93D21) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (1)

A modified RBF neuro-sliding mode control technique for a grid connected PMSG based variable speed wind energy conversion system

Uses Software

• SymPowerSystems

Cites Work

• Robust exact differentiation via sliding mode technique
• Adaptive extremum seeking control of nonlinear dynamic systems with parametric uncertainties.
• Adaptive extremum seeking control of continuous stirred tank bioreactors with unknown growth kinetics
• Extremum seeking control for soft landing of an electromechanical valve actuator
• Stability of extremum seeking feedback for general nonlinear dynamic systems
• Fully sensorless robust control of variable-speed wind turbines for efficiency maximization
• Using GD to conquer the singularity problem of conventional controller for output tracking of nonlinear system of a class
• Extremum seeking for moderately unstable systems and for autonomous vehicle target tracking without position measurements
• Practical identification of NARMAX models using radial basis functions
• Neural networks for nonlinear dynamic system modelling and identification
• A globally convergent wind speed estimator for wind turbine systems

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