Evidence map›Paper›PMID 42215607›Full record

ArticleScientific reports2026

An integrated controller-estimator technique for vector control and speed estimation in PMSM drive.

Ashly Mary Tom, J L Febin Daya

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ashly Mary TomSchool of Electrical Engineering, Vellore Institute of Technology, Chennai Campus, Chennai, India.
J L Febin DayaElectric Vehicles Incubation, Testing and Research Center, Vellore Institute of Technology, Chennai Campus, Chennai, India. febindaya.jl@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents an integrated controller and estimator technique, using a stationary reference frame (αβ) system, for a surface permanent magnet synchronous motor (PMSM) drive system. This paper aims to develop an improved sensorless vector control where the Field Oriented Control (FOC) method and the speed estimation are performed together, as opposed to being separate functions in the conventional method for a PMSM drive. In the proposed technique, current control and motor speed - rotor position estimations are performed based on current sensor feedback only. The speed is estimated from αβ-currents of the motor, thereby eliminating the need for speed sensor. The current control loop of the vector control is implemented using αβ-currents instead of dq-currents. The main advantages of this proposed approach are reduced circuitry and simple control configuration. The key benefits include reduction of sensors, controller complexity, computing complexity, and cost. The proposed integrated approach is theoretically investigated and simulated for the PMSM drive model. Using the Opal-RT configuration, the performance is also assessed in real-time. The proposed control strategy shows promise in meeting the closed-loop drive system's speed tracking requirements. A comparison of the simulation results between the conventional and proposed models validates the effectiveness of the proposed technique for speed control applications. When compared to the conventional control method, the proposed model's performance improved in terms of different transient levels, speed responses and evaluation metrics.

Indexed as

Current controllerPermanent magnet synchronous motor (PMSM)Speed estimationVector controlαβ-axes

Identifiers

PMID42215607
PMCPMC13454147

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.