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Adaptive Nonlinear Control of Wind Energy Conversion System Involving Induction Generator
Author(s) -
Lajouad Rachid,
Magri Abdelmounime El,
Fadili Abderrahim El,
Chaoui FatimaZahra,
Giri Fouad
Publication year - 2015
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1020
Subject(s) - control theory (sociology) , backstepping , induction generator , controller (irrigation) , lyapunov function , wind power , nonlinear system , lyapunov stability , engineering , rotor (electric) , control engineering , computer science , adaptive control , physics , control (management) , agronomy , quantum mechanics , artificial intelligence , electrical engineering , biology , mechanical engineering
This paper presents a theoretical framework for adaptive control of a wind energy conversion system (WECS), involving a squirrel cage induction generator (SIG) connected with an AC/DC/AC IGBT‐based PWM converter. A multi‐loop nonlinear controller is designed to meet two main control objectives, i.e ., (i) speed reference optimization in order to extract a maximum wind energy whatever the wind speed, and (ii) power factor correction (PFC) to avoid net harmonic pollution. These objectives must be achieved despite the mechanical parameters uncertainty. First, a nonlinear model of the whole controlled system is developed within the Park coordinates. Then, a multi‐loop nonlinear controller is synthesized using the adaptive backstepping design. A formal analysis based on Lyapunov stability is carried out to describe the control system performances. In addition to closed‐loop global asymptotic stability, it is proven that all control objectives (induction generator speed tracking, rotor flux regulation, DC link voltage regulation and unitary power factor) are asymptotically achieved.