Model Predictive MRAS Speed Estimator for Permanent Magnet Synchronous Machines
Year: 2025
Type: article
Abstract: ABSTRACT This paper presents a predictive model reference adaptive system (MRAS) speed estimator for permanent magnet synchronous machines. The speed estimator is based on the finite control set model predictive control principle. A search method is utilized to find the best estimated speed at each sampling interval that produces the smallest speed estimation error signal. This method replaces the PI controller which is typically employed by MRAS estimators. The speed estimator has been experimentally tested using a 2.1 kW PMSM. Results show improved performance, especially during fast load transients for the novel method compared to the PI‐based MRAS method.
Source: The Journal of Engineering
Authors: Saleh B. Shlimet, Antonio Griffo
Institution: University of Sheffield
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,000
OpenAlex ID: W4415879595