The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Sensorless Vector Control of Induction Machines for Variable-Speed Wind Energy Applications
Open accessAbstract
A sensorless vector-control strategy for an induction generator in a grid-connected wind energy conversion system is presented. The sensorless control system is based on a model reference adaptive system (MRAS) observer to estimate the rotational speed. In order to tune the MRAS observer and compensate for the parameter variation and uncertainties, a separate estimation of the speed is obtained from the rotor slot harmonics using an algorithm for spectral analysis. This algorithm can track fast dynamic changes in the rotational speed, with high accuracy. Two back-to-back pulse-width-modulated (PWM) inverters are used to interface the induction generator with the grid. The front-end converter is also vector controlled. The dc link voltage is regulated using a PI fuzzy controller. The proposed sensorless control strategy has been experimentally verified on a 2.5-kW experimental set up with an induction generator driven by a wind turbine emulator. The emulation of the wind turbine is performed using a novel strategy that allows the emulation of high-order wind turbine models, preserving all of the dynamic characteristics. The experimental results show the high level of performance obtained with the proposed sensorless vector-control method.
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Citations
Cites
Adaptive speed identification for vector control of induction motors without rotational transducers
Schauder, C. (1992) · IEEE Transactions on Industry Applications · doi:10.1109/28.158829 · Cited by 1,125
Energy, environment, and advances in power electronics
Bose, B. K. (2000) · IEEE Transactions on Power Electronics · doi:10.1109/63.849039 · Cited by 220
Control strategies for voltage control of a boost type PWM converter
Pena, R. S., Cárdenas, R., Clare, J., et al. (2002) · PESC record · doi:10.1109/pesc.2001.954205 · Cited by 35
Self-citation
Cited by
High-power wind energy conversion systems: State-of-the-art and emerging technologies
Yaramasu, V., Wu, B., Sen, P. C., Kouro, S., & Narimani, M. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2378692 · Cited by 991
Zhao, Y., Wei, C., Zhang, Z., & Qiao, W. (2013) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2013.2280572 · Cited by 274
Wei, C., Zhang, Z., Qiao, W., & Qu, L. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2420792 · Cited by 178
Metadata
- Authors
- Cardenas, R., & Pena, R.
- Venue
- IEEE Transactions on Energy Conversion
- Published
- 2004-03
- Volume
- 19
- Issue
- 1
- Pages
- 196-205
- ISSN
- 0885-8969 (ISSN-L)
- OpenAlex
- W2111426719
- Cited by
- 286
- References
- 3
- FWCI
- 10.79
- Type
- journal article
- Language
- en
- Open access
- green
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- Cardenas, R., & Pena, R. (2004). Sensorless Vector Control of Induction Machines for Variable-Speed Wind Energy Applications. IEEE Transactions on Energy Conversion. https://doi.org/10.1109/tec.2003.821863
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