Double-manifold variable-structure MRAS speed identification for induction motor
Qinglong Wang
Abstract
Qinglong Wang
Abstract
A novel strategy of double-manifold variable structure model reference adaptive system(VS-MRAS) observers for the speed identification of a sensorless field-oriented vector controlled induction motor drives was presented.This observers combined MRAS with variable structure control,selected the voltage model of rotor fluxes as the reference model and the current model of rotor fluxes as the adjustable model,and formulated double-manifold according the output errors of two models.In the presented observers,the speed was estimated by algebraic.Theoretical analysis and simulation results show that the presented observers possesses the veracity of fluxes observers and improves the dynamic and static performance of the speed estimation.It seems very robust to variable parameters and less computational complexity,and is suitable for real-time application.
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A novel strategy of double-manifold variable structure model reference adaptive system(VS-MRAS) observers for the speed identification of a sensorless field-oriented vector controlled induction motor drives was presented.This observers combined MRAS with variable structure control,selected the voltage model of rotor fluxes as the reference model and the current model of rotor fluxes as the adjustable model,and formulated double-manifold according the output errors of two models.In the presented observers,the speed was estimated by algebraic.Theoretical analysis and simulation results show that the presented observers possesses the veracity of fluxes observers and improves the dynamic and static performance of the speed estimation.It seems very robust to variable parameters and less computational complexity,and is suitable for real-time application.
Key concepts: MRAS, Control theory (sociology), Induction motor, Vector control, Manifold (fluid mechanics), Rotor (electric), Variable (mathematics), Reference model