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Adaptive Nonlinear Control of Induction Motors Through AC/DC/AC Converters
Author(s) -
El Fadili A.,
Giri F.,
El Magri A.,
Dugard L.,
Chaoui F.Z.
Publication year - 2012
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.478
Subject(s) - control theory (sociology) , backstepping , induction motor , controller (irrigation) , nonlinear system , power factor , harmonic , dc motor , power (physics) , rotor (electric) , lyapunov stability , voltage , engineering , adaptive control , computer science , physics , control (management) , electrical engineering , agronomy , quantum mechanics , artificial intelligence , biology
The problem of controlling induction motors, together with associated AC/DC rectifiers and DC/AC inverters, is addressed. The control objectives are threefold: (i) the motor speed should track any reference signal despite mechanical parameter uncertainties and variations; (ii) the DC L ink voltage must be tightly regulated; and (iii) the power factor correction ( PFC ) w.r.t. the power supply net must be performed in a satisfactory way. First, a nonlinear model of the whole controlled system is developed within the P ark coordinates. Then, a multi‐loop nonlinear adaptive controller is synthesized using the backstepping design technique. A formal analysis based on L yapunov stability and average theory is carried out to exhibit the control system performances. In addition to closed‐loop global asymptotic stability, it is proven that all control objectives (motor speed tracking, rotor flux regulation, DC link voltage regulation and unitary power factor) are asymptotically achieved, up to small but unavoidable harmonic errors (ripples).