Abstract
In the sensorless control system of an induction machine, the rotor speed value is not measured but reconstructed by an observer structure. The rotor speed value can be reconstructed by the classical adaptive law with the integrator. The second approach, which is the main contribution of this paper, is the non-adaptive structure without an integrator. The proposed method of the rotor speed reconstruction is based on an algebraic relationship – the rank of the mathematical model of the observer system is not increased. However, the problem with the stabilization of the observer structure does exist. For near to zero rotor speed or in the regenerating mode of an induction machine, the speed observer structure can be unstable. Therefore, in this paper, the new stabilization functions are proposed. The stability is provided by the Lyapunov theorem and the practical stability theorems in which the uncertainty of parameters is considered. In the proposed solution, the newly introduced stabilization functions guarantee observer stability during both the motoring and regenerating conditions at the chosen low rotor speed ranges and for different load torque values. All the theoretical considerations were confirmed by simulation and experimental tests during the chosen working modes and uncertainties of nominal parameters of the induction machine.
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- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/TIE.2021.3066919
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
no. 69,
pages 2333 - 2344,
ISSN: 0278-0046 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Morawiec M., Kroplewski P., Odeh C. I.: Non-Adaptive Rotor Speed Estimation of Induction Machine in an Adaptive Full-Order Observer// IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS -Vol. 69,iss. 3 (2022), s.2333-2344
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/tie.2021.3066919
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
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