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Permanent Magnet Generator q-axis Inductance Adaptation Using High-Frequency Signal Injection (CROSBI ID 659254)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Pravica, Luka ; Kutija, Martina ; Sumina, Damir Permanent Magnet Generator q-axis Inductance Adaptation Using High-Frequency Signal Injection // Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT) / Allard, Bruno ; Chow, Mo-Yuen ; Ibrahim, Yousef et al. (ur.). Lyon: Institute of Electrical and Electronics Engineers (IEEE), 2018. str. 486-491

Podaci o odgovornosti

Pravica, Luka ; Kutija, Martina ; Sumina, Damir

engleski

Permanent Magnet Generator q-axis Inductance Adaptation Using High-Frequency Signal Injection

The model-based rotor position estimation methods for permanent magnet generators (PMGs) are susceptible to machine parameter variations, especially inductances which are operating point dependent. This paper presents a PMG apparent q-axis inductance adaptation method which is used with the PLL-based rotor position estimation methods to improve their accuracy. These methods exhibit position estimation error if the used q-axis inductance value is incorrect. The proposed method extracts the position estimation error by using high-frequency signal injection technique and improves the accuracy of the estimated rotor position by determining the correct value of the q-axis inductance. Upon obtaining correct q-axis inductance value, current references are adjusted to provide accurate torque reference tracking. Experimental verification of the proposed method was done on a 375 kW PMG. The experimental results show the effectiveness of the proposed method.

Permanent magnet generators (PMGs) ; parameter estimation ; high-frequency (HF) injection ; sensorless drives

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Podaci o prilogu

486-491.

2018.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT)

Allard, Bruno ; Chow, Mo-Yuen ; Ibrahim, Yousef ; Sari, Ali

Lyon: Institute of Electrical and Electronics Engineers (IEEE)

978-1-5090-5948-5

Podaci o skupu

19th International Conference on Industrial Technology

predavanje

20.02.2018-22.02.2018

Lyon, Francuska

Povezanost rada

Elektrotehnika