2015Unpublished venueRequires access

Speed estimation of faulty three-phase induction motor using model reference adaptive system

Ali Monadi, Mohammad Jannati, Nik Rumzi Nik Idris, S. E. Alavi

Open publisher page 4 citations

Abstract

In this paper, a method for speed estimation of faulty three-phase induction motor (three-phase induction motor under stator winding open-phase fault) based on Model Reference Adaptive System (MRAS) is presented. The proposed method can be used for both healthy and faulty induction motors. In this method during normal condition the conventional MRAS is used to estimate motor speed. However, during the fault condition the conventional MRAS is switched to the novel algorithm based MRAS. This novel algorithm is designed based on the model of three-phase induction motor under open-phase fault. Simulation results are presented to show the effectiveness of the proposed technique. This paper also compares the performance of conventional and proposed MRAS during open-phase fault.

About this research paper

What this paper is about

In this paper, a method for speed estimation of faulty three-phase induction motor (three-phase induction motor under stator winding open-phase fault) based on Model Reference Adaptive System (MRAS) is presented. The proposed method can be used for both healthy and faulty induction motors. In this method during normal condition the conventional MRAS is used to estimate motor speed. However, during the fault condition the conventional MRAS is switched to the novel algorithm based MRAS. This novel algorithm is designed based on the model of three-phase induction motor under open-phase fault. Simulation results are presented to show the effectiveness of the proposed technique. This paper also compares the performance of conventional and proposed MRAS during open-phase fault.

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Available abstract

In this paper, a method for speed estimation of faulty three-phase induction motor (three-phase induction motor under stator winding open-phase fault) based on Model Reference Adaptive System (MRAS) is presented. The proposed method can be used for both healthy and faulty induction motors. In this method during normal condition the conventional MRAS is used to estimate motor speed. However, during the fault condition the conventional MRAS is switched to the novel algorithm based MRAS. This novel algorithm is designed based on the model of three-phase induction motor under open-phase fault. Simulation results are presented to show the effectiveness of the proposed technique. This paper also compares the performance of conventional and proposed MRAS during open-phase fault.

Key concepts: MRAS, Induction motor, Control theory (sociology), Stator, Computer science, Fault (geology), Adaptive system, Phase (matter)

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