An Enhanced DC-Link Voltage Response for Wind-Driven Doubly Fed Induction Generator Using Adaptive Fuzzy Extended State Observer and Sliding Mode Control

Mohammed Mazen Alhato, Mohamed N. Ibrahim, Hegazy Rezk and Soufiene Bouallègue
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Mohammed Mazen Alhato: Research Laboratory in Automatic Control (LARA), National Engineering School of Tunis, BP 37, Le Belvédère, Tunis 1002, Tunisia
Mohamed N. Ibrahim: Department of Electromechanical, Systems and Metal Engineering, Ghent University, 9000 Ghent, Belgium
Hegazy Rezk: College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj 11911, Saudi Arabia
Soufiene Bouallègue: Research Laboratory in Automatic Control (LARA), National Engineering School of Tunis, BP 37, Le Belvédère, Tunis 1002, Tunisia

Mathematics, 2021, vol. 9, issue 9, 1-18

Abstract: This paper presents an enhancement method to improve the performance of the DC-link voltage loop regulation in a Doubly-Fed Induction Generator (DFIG)- based wind energy converter. An intelligent, combined control approach based on a metaheuristics-tuned Second-Order Sliding Mode (SOSM) controller and an adaptive fuzzy-scheduled Extended State Observer (ESO) is proposed and successfully applied. The proposed fuzzy gains-scheduling mechanism is performed to adaptively tune and update the bandwidth of the ESO while disturbances occur. Besides common time-domain performance indexes, bounded limitations on the effective parameters of the designed Super Twisting (STA)-based SOSM controllers are set thanks to the Lyapunov theory and used as nonlinear constraints for the formulated hard optimization control problem. A set of advanced metaheuristics, such as Thermal Exchange Optimization (TEO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Harmony Search Algorithm (HSA), Water Cycle Algorithm (WCA), and Grasshopper Optimization Algorithm (GOA), is considered to solve the constrained optimization problem. Demonstrative simulation results are carried out to show the superiority and effectiveness of the proposed control scheme in terms of grid disturbances rejection, closed-loop tracking performance, and robustness against the chattering phenomenon. Several comparisons to our related works, i.e., approaches based on TEO-tuned PI controller, TEO-tuned STA-SOSM controller, and STA-SOSM controller-based linear observer, are presented and discussed.

Keywords: doubly fed induction generator; DC-link voltage regulation; second-order sliding mode control; extended state observer; fuzzy gain scheduling; advanced metaheuristics (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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