Method for determining rotor flux vector of AC electrical...

Electricity: motive power systems – Induction motor systems – Primary circuit control

Reexamination Certificate

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C318S801000, C318S700000, C318S727000, C318S701000

Reexamination Certificate

active

07102325

ABSTRACT:
A method for determining the rotor flux vector of an electrical machine, the method comprising the steps of controlling the electrical machine with an inverter, forming an equation for the reactive power (Qinv) at the output of the inverter, forming an equation for the consumed reactive power ({circumflex over (Q)}mot) in the electrical machine, forming a reactive power balance equation (Qerr) between the reactive power (Qinv) at the output of the inverter and the reactive power ({circumflex over (Q)}mot) consumed in the electrical machine, determining the stator resistance ({circumflex over (R)}s) of the electrical machine from the balance equation (Qerr), determining the stator flux estimate ({circumflex over (ψ)}s) using the determined stator resistance ({circumflex over (R)}s) and the balance equation (Qerr), and determining the rotor flux estimate ({circumflex over (ψ)}R) using the determined stator flux estimate ({circumflex over (ψ)}s).

REFERENCES:
patent: 2003/0169015 (2003-09-01), Royak et al.
patent: 2005/0110450 (2005-05-01), Stancu et al.
Shyh-Shing Perng et al.; “Sensorless vector controller for induction motor drives with parameter identification” Industrial Electronics Society, 1998; vol. 2, pp. 1008-1013; Aug. 31, 1998.
Umanand L., et al., “Online estimation of stator resistance of an induction motor for speed control applications”; IEE Proceedings: Electric Power Applications, Institutions of Electrical Engineers; vol. 142, No. 2 pp. 97-103.
Hamajima, T; et al., “Sensorless Vector Control of Induction Motor with Stator Resistance Identification Based on Augmented Error”, Proceedings of the Power Conversion Conference 2002, Apr. 2, 2002, pp. 504-509.
Aktas, Mustafa et al.; “Neural Network Based Stator Resistance Estimation in Direct Torque Control of Induction Motor”; IJCI Proceedings of Intl. XII. Turkish Symposium on Artificial Intelligence and Neural Networks, vol. 1, No. 1. Jul. 2003, pp. 355-358.

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