MRAS-Based Speed and Parameter Estimation for a Vector-Controlled PMSM Drive

Citation metadata

Authors: Sai Shiva Badini and Vimlesh Verma
Date: June 2020
From: Electrica(Vol. 20, Issue 1)
Publisher: AVES
Document Type: Report
Length: 5,582 words

Main content

Abstract :

This paper presents the estimation technigues for rotor speed ([[omega].sub.r], rotor position ([p.sub.m]), and stator resistance ([R.sub.s]) for a Permanent-Magnet Synchronous-Motor (PMSM) drive. An online speed-/position- estimation technigue is essential to make the drive mechanically robust and to increase its reliability. The instantaneous and steady state Fictitious Quantity (Y) is used to build a Model Reference Adaptive System (MRAS) as a basic structure for estimating [[omega].sub.r] and [R.sub.s] for a vector-controlled PMSM drive. MRAS models are constructed using reference voltages and actual currents in a rotor reference frame. This scheme involves less computation effort and simple expressions without any integration and differentiation terms. The Y-MRAS speed-estimation technigue performs satisfactorily over a reactive power MRAS-based speed estimator under a slow zero crossing for the PMSM drive. However, this technigue depends on stator resistance. The proper identification of [R.sub.s] (by YR-MRAS) gives information about the machine's operating range and is also used in the online [R.sub.s] compensation for the Y-MRAS technigue. The proposed methods are applicable to all types of PMSM machines and are verified for various speed and load variations. The viability and effectiveness of the [[omega].sub.r] and [R.sub.s] estimation technigues are demonstrated via stability/sensitivity analyses, MATLAB software simulations, and Typhoon Hardware In-the-Loop (HIL) -402. Keywords: Condition monitoring, speed control, PMSM, sensorless, stator-resistance estimation

Source Citation

Source Citation
Badini, Sai Shiva, and Vimlesh Verma. "MRAS-Based Speed and Parameter Estimation for a Vector-Controlled PMSM Drive." Electrica, vol. 20, no. 1, June 2020, pp. 28+. Accessed 5 Oct. 2022.

Gale Document Number: GALE|A621085715