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Editor-in-Chief
Nikiforov
Vladimir O.
D.Sc., Prof.
Partners
doi: 10.17586/2226-1494-2018-18-1-24-31
ALGORITHM FOR ADAPTIVE SENSORLESS CONTROL OF SYNCHRONOUS MOTORS
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Article in Russian
For citation: Bazylev D.N., Pyrkin A.A., Bobtsov A.A. Algorithm for adaptive sensorless control of synchronous motors. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2018, vol. 18, no. 1, pp. 24–31 (in Russian). doi: 10.17586/2226-1494-2018-18-1-24-31
Abstract
For citation: Bazylev D.N., Pyrkin A.A., Bobtsov A.A. Algorithm for adaptive sensorless control of synchronous motors. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2018, vol. 18, no. 1, pp. 24–31 (in Russian). doi: 10.17586/2226-1494-2018-18-1-24-31
Abstract
We present an algorithm for adaptive sensorless control of a synchronous motor with permanent magnets based on nonlinear observer of rotor position. The proposed algorithm is based on the vector control method, which uses position and velocity estimates for generation of control signals. The developed observer is an extension of recently proposed robust observer, which generates the estimate of rotor position using magnetic flux estimates. The key feature of this observer is that only two motor parameters should be known for position estimation – stator resistance and inductance. The results of the experiments performed in the work demonstrate the effectiveness of the sensorless control algorithm with the original observer in comparison with the modern industrial sensorless controller. In turn, the proposed sensorless control algorithm with a modified observer results in a higher accuracy of position estimation in comparison with the original version.
Keywords: sensorless control, synchronous motor with permanent magnets, adaptive control, nonlinear observer, parameter identification
Acknowledgements. This paper is supported by the Government of the Russian Federation (grant 074-U01) and Russian Foundation for Basic Research (grant 17-58-53129). The authors express special gratitude to Slobodan Vukosavic, Alex Stankovic and Romeo Ortega for their assistance in this study.
References
Acknowledgements. This paper is supported by the Government of the Russian Federation (grant 074-U01) and Russian Foundation for Basic Research (grant 17-58-53129). The authors express special gratitude to Slobodan Vukosavic, Alex Stankovic and Romeo Ortega for their assistance in this study.
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