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Cited by 300

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Position and Speed Control of Brushless DC Motors Using Sensorless Techniques and Application Trends

Open access
Gamazo-Real, José Carlos, Vázquez-Sánchez, Ernesto, Gómez-Gil, Jaime·2010·Sensors

Abstract

This paper provides a technical review of position and speed sensorless methods for controlling Brushless Direct Current (BLDC) motor drives, including the background analysis using sensors, limitations and advances. The performance and reliability of BLDC motor drivers have been improved because the conventional control and sensing techniques have been improved through sensorless technology. Then, in this paper sensorless advances are reviewed and recent developments in this area are introduced with their inherent advantages and drawbacks, including the analysis of practical implementation issues and applications. The study includes a deep overview of state-of-the-art back-EMF sensing methods, which includes Terminal Voltage Sensing, Third Harmonic Voltage Integration, Terminal Current Sensing, Back-EMF Integration and PWM strategies. Also, the most relevant techniques based on estimation and models are briefly analysed, such as Sliding-mode Observer, Extended Kalman Filter, Model Reference Adaptive System, Adaptive observers (Full-order and Pseudoreduced-order) and Artificial Neural Networks.

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Metadata

Authors
Gamazo-Real, J. C., Vázquez-Sánchez, E., & Gómez-Gil, J.
Venue
Sensors
Publisher
MDPI AG
Published
2010-07-19
Volume
10
Issue
7
Pages
6901-6947
ISSN
1424-8220 (ISSN-L)
OpenAlex
W2151177243
Cited by
300
References
15
FWCI
5.23
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Position and Speed Control of Brushless DC Motors Using Sensorless Techniques and Application Trends. https://app.cochat.ai/papers/10.3390/s100706901
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Gamazo-Real, J. C., Vázquez-Sánchez, E., & Gómez-Gil, J. (2010). Position and Speed Control of Brushless DC Motors Using Sensorless Techniques and Application Trends. Sensors. https://doi.org/10.3390/s100706901

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