<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Estimating the speed and position using measurable electrical parameters would allow establishment of sensorless control systems for brushless DC motors, without the need to use expensive sensors for the rotor position and speed. When the motor is running, it heats up and the stator resistance rises. This heat-dependent change needs to be reflected in the observer, as it would produce an error in rated speed and position. An adaptive algorithm can compensate for the change of resistance as a disturbing effect of the motor heating. The adaptive algorithm for estimating the resistance is synthesized using the function of Lyapunov. This article is useful for estimation of brushless electric motor speed and position with observer. It contains simulations with an adaptive observer of resistance for sensorless estimation of speed and position in brushless DC motor through measurement of voltage and current.</p></abstract>

Estimating the speed and position using measurable electrical parameters would allow establishment of sensorless control systems for brushless DC motors, without the need to use expensive sensors for the rotor position and speed. When the motor is running, it heats up and the stator resistance rises. This heat-dependent change needs to be reflected in the observer, as it would produce an error in rated speed and position. An adaptive algorithm can compensate for the change of resistance as a disturbing effect of the motor heating. The adaptive algorithm for estimating the resistance is synthesized using the function of Lyapunov. This article is useful for estimation of brushless electric motor speed and position with observer. It contains simulations with an adaptive observer of resistance for sensorless estimation of speed and position in brushless DC motor through measurement of voltage and current.

Adaptive Observer of Resistance in Sensorless Estimation of Speed and Position in Brushless DC Electric Motor

Department Electrical Motion Automation Systems, Faculty of Automatics

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Estimating the speed and position using measurable electrical parameters would allow establishment of sensorless control systems for brushless DC motors,...

Adaptive Observer of Resistance in Sensorless Estimation of Speed and Position in Brushless DC Electric Motor

Publié en ligne: 29 mars 2019

Pages: 165 - 176

Reçu: 20 janv. 2019

Accepté: 11 févr. 2019

DOI: https://doi.org/10.2478/cait-2019-0009

Mots clés
Brushless motor, observer, speed, position, estimate, Lyapunov, stator resistance

© 2019 Danail Slavov, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Adaptive Observer of Resistance in Sensorless Estimation of Speed and Position in Brushless DC Electric Motor

Publié en ligne: 29 mars 2019

Pages: 165 - 176

Reçu: 20 janv. 2019

Accepté: 11 févr. 2019

DOI: https://doi.org/10.2478/cait-2019-0009

Mots clésBrushless motor, observer, speed, position, estimate, Lyapunov, stator resistance

© 2019 Danail Slavov, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Brushless motor, observer, speed, position, estimate, Lyapunov, stator resistance