2008Unpublished venueRequires access

The simulation study of sensorless control for induction motor drives based on MRAS

Zicheng Li, Shanmei Cheng, Kai Cai

Open publisher page 6 citations

Abstract

A method of speed identification for sensorless induction motor (IM) drives based on a model reference adaptive system (MRAS) is proposed in this paper. The adaptive full-order observer based on IM equation is used to estimate stator currents and rotor flux. Lyapunovpsilas stability criterion is employed to estimate rotor speed. The same algorithm deduced from Lyapunovpsilas stability criterion is given to estimate the stator resistance, which results in the speed estimation error. The results of simulation show that the motor speed is controlled well at very low speeds. The proposed speed and stator resistance identification methods can be believed have high possibility in practical applications.

About this research paper

What this paper is about

A method of speed identification for sensorless induction motor (IM) drives based on a model reference adaptive system (MRAS) is proposed in this paper. The adaptive full-order observer based on IM equation is used to estimate stator currents and rotor flux. Lyapunovpsilas stability criterion is employed to estimate rotor speed. The same algorithm deduced from Lyapunovpsilas stability criterion is given to estimate the stator resistance, which results in the speed estimation error. The results of simulation show that the motor speed is controlled well at very low speeds. The proposed speed and stator resistance identification methods can be believed have high possibility in practical applications.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A method of speed identification for sensorless induction motor (IM) drives based on a model reference adaptive system (MRAS) is proposed in this paper. The adaptive full-order observer based on IM equation is used to estimate stator currents and rotor flux. Lyapunovpsilas stability criterion is employed to estimate rotor speed. The same algorithm deduced from Lyapunovpsilas stability criterion is given to estimate the stator resistance, which results in the speed estimation error. The results of simulation show that the motor speed is controlled well at very low speeds. The proposed speed and stator resistance identification methods can be believed have high possibility in practical applications.

Key concepts: MRAS, Control theory (sociology), Induction motor, Stator, Observer (physics), Adaptive system, Rotor (electric), Vector control

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