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SLIDING‐MODE LINEARIZATION TORQUE CONTROL OF AN INDUCTION MOTOR
Author(s) -
Lin ShirKuan,
Fang ChihHsing
Publication year - 2004
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 - 10.1111/j.1934-6093.2004.tb00213.x
Subject(s) - control theory (sociology) , robustness (evolution) , torque , sliding mode control , feedback linearization , direct torque control , induction motor , linearization , control engineering , robust control , engineering , computer science , control system , nonlinear system , control (management) , physics , voltage , biochemistry , chemistry , quantum mechanics , artificial intelligence , electrical engineering , gene , thermodynamics
This paper proposes a sliding‐mode linearization torque control (SMLTC) for an induction motor (IM). An ideal feedback linearization torque control method is firstly adopted in order to decouple the torque and flux amplitude of the IM. However, the system parameters are uncertainties, which will influence the control performance of the IM in practical applications. Hence, to increase the robustness of the IM drive for high‐ performance applications, this SMLTC aims to improve the immunity of those uncertainties. We modify the flux observer of Benchaib and Edwards [15] by means of the adaptive sliding‐mode method. This not only eliminates the estimation of the uncertainty bounds, but also improves the performance of sliding control. In addition, a practical application of the proposed SMLTC, with a model reference adaptive control (MRAC) scheme incorporated as the inner and outer loop controller used for position control, is also presented. Some experiments are presented to verify the control theory and demonstrate the robustness and effectiveness of the proposed SMLTC.