Title: Model reference adaptive system-based precise online inertia identification of induction motor with error utilisation technique

Authors: Jay D. Mistry; P.N. Tekwani; Chirag H. Raval; Vinod Patel

Addresses: Department of Electrical Engineering, Institute of Technology, Nirma University, Ahmedabad – 382481, Gujarat, India ' Department of Electrical Engineering, Institute of Technology, Nirma University, Ahmedabad – 382481, Gujarat, India ' Department of Electrical Engineering, Institute of Technology, Nirma University, Ahmedabad – 382481, Gujarat, India ' DGM, R&D Department, Amtech Electronics (I) Ltd., Gandhinagar – 382028, Gujarat, India

Abstract: Time varying parameters can be estimated using either adaptive control or robust control. Robust control can be used only when the control law is fixed and varying parameters are bounded. Adaptive control is concerned with control law changing itself. Model reference adaptive system (MRAS) is an adaptive control method that can be used to identify initially unknown parameters. Variation in load and machine vibrations affect the control system performance of any motor drive system when it is in operating condition. Estimation of moment of inertia becomes essential to improve the dynamic response characteristics of any high-performance asynchronous machine (ASM) drive system. A novel method using model reference adaptive system (MRAS) with error utilisation technique (EUT) for precise identification of online varying inertia is presented in this article. The proposed method uses an interesting relation between the estimation error and actual inertia, to compensate for the error and provide high precision online inertia identification.

Keywords: asynchronous machine; ASM; model reference adaptive system; MRAS; error utilisation technique; EUT; inertia identification.

DOI: 10.1504/IJPELEC.2022.125635

International Journal of Power Electronics, 2022 Vol.16 No.3, pp.371 - 384

Received: 04 Jul 2020
Accepted: 03 Dec 2020
Published online: 18 Sep 2022 *

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