Integral Sliding Mode Control for DFIG Based Wind Energy Conversion System Using Ant Colony Optimization Algorithm

TitreIntegral Sliding Mode Control for DFIG Based Wind Energy Conversion System Using Ant Colony Optimization Algorithm
Publication TypeJournal Article
Year of Publication2022
AuthorsElouatouat, H, Essadki, A, Nasser, T, Chojaa, H
JournalLecture Notes in Networks and Systems
Volume455 LNNS
Pagination675-684
Abstract

This paper presents a robust control method for controlling the powers of a wind turbine based on a doubly fed induction generator (DFIG) using an integral sliding mode control (ISMC). The sliding gain of the proposed controller is optimized through an artificial intelligence algorithm called ant colony optimization (ACO). The proposed controller is compared to the conventional PI controller in which the ACO is also used to tune the kp and ki gains (ACO_PI). The simulation results indicate that the proposed ACO_ISMC controller has high accuracy, fast response time, and minimal integral time absolute error (ITAE) compared to the ACO_PI controller. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85130376806&doi=10.1007%2f978-3-031-02447-4_70&partnerID=40&md5=1838b3a52b0bd684ed18b42ff73f7780
DOI10.1007/978-3-031-02447-4_70
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