The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Sensorless Output Maximization Control for Variable-Speed Wind Generation System Using IPMSG
Abstract
This paper proposes a variable-speed wind generation system using an interior permanent-magnet synchronous generator (IPMSG). The armature current vector of the IPMSG is optimally controlled according to the generator speed in order to maximize the generated power from the wind turbine. The IPMSG is controlled by the loss-minimization control with maximum power point tracking below the base speed, which corresponds to low and medium wind speed, and the maximum energy can be captured from the wind. Above the base speed corresponding to the high wind speed region, the current- and voltage-limited maximum output control is applied, where the current vector is optimally controlled so that the output may become the maximum in consideration of the constraints of current and voltage. The proposed output maximization control is achieved without mechanical sensors such as wind speed sensor and position sensor. The control system has been developed and several experimental results show the effectiveness of the proposed wind generation system.
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Citations
Cites
Sensorless control strategy for salient-pole PMSM based on extended EMF in rotating reference frame
Morimoto, S., Kawamoto, K., Sanada, M., & Takeda, Y. (2002) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2002.800777 · Cited by 680
Self-citationMorimoto, S., Takeda, Y., Hirasa, T., & Taniguchi, K. (1990) · IEEE Transactions on Industry Applications · doi:10.1109/28.60058 · Cited by 610
Self-citationDesign and performance evaluation of a fuzzy-logic-based variable-speed wind generation system
Simoes, M. G., Bose, B. K., & Spiegel, R. J. (1997) · IEEE Transactions on Industry Applications · doi:10.1109/28.605737 · Cited by 301
Optimum control of IPMSG for wind generation system
Nakamura, T., Morimoto, S., Sanada, M., & Takeda, Y. (2003) · Power Conversion Conference · doi:10.1109/pcc.2002.998184 · Cited by 103
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Cited by
A review of maximum power point tracking algorithms for wind energy systems
Abdullah, M. A., Yatim, A. H. M., Tan, C. W., & Saidur, R. (2012) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.02.016 · Cited by 770
The state of the art of wind energy conversion systems and technologies: A review
Cheng, M., & Zhu, Y. (2014) · Energy Conversion and Management · doi:10.1016/j.enconman.2014.08.037 · Cited by 600
Neural-Network-Based MPPT Control of a Stand-Alone Hybrid Power Generation System
Lin, W.-M., Hong, C.-M., & Chen, C.-H. (2011) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2011.2161775 · Cited by 347
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
Dynamic operation and control of microgrid hybrid power systems
Ou, T.-C., & Hong, C.-M. (2014) · Energy · doi:10.1016/j.energy.2014.01.042 · Cited by 259
Metadata
- Authors
- Morimoto, S., Nakayama, H., Sanada, M., & Takeda, Y.
- Venue
- IEEE Transactions on Industry Applications
- Published
- 2005-01
- Volume
- 41
- Issue
- 1
- Pages
- 60-67
- ISSN
- 0093-9994 (ISSN-L)
- OpenAlex
- W2167367636
- Cited by
- 391
- References
- 4
- FWCI
- 13.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- Morimoto, S., Nakayama, H., Sanada, M., & Takeda, Y. (2005). Sensorless Output Maximization Control for Variable-Speed Wind Generation System Using IPMSG. IEEE Transactions on Industry Applications. https://doi.org/10.1109/tia.2004.841159
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