A modulated model predictive control scheme for the brushless doubly-fed induction machine
This paper proposes a modulated model predictive control (MMPC) algorithm for a brushless double-fed induction machine. The Brushless Doubly-Fed Induction Machine has some important advantages over alternative solutions for brushless machine applications. The proposed modulation technique achieves...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2017
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| Online Access: | https://eprints.nottingham.ac.uk/50567/ |
| _version_ | 1848798285303644160 |
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| author | Li, Xuan Peng, Tao Dan, Hanbing Zhang, Guanguan Tang, Weiyi Wheeler, Patrick |
| author_facet | Li, Xuan Peng, Tao Dan, Hanbing Zhang, Guanguan Tang, Weiyi Wheeler, Patrick |
| author_sort | Li, Xuan |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This paper proposes a modulated model predictive control (MMPC) algorithm for a brushless double-fed induction machine. The Brushless Doubly-Fed Induction Machine has some important advantages over alternative solutions for brushless machine applications. The proposed modulation technique achieves a fixed switching frequency, which gives good system performance. The paper examines the design and implementation of the modulation technique and simulation results verify the operation of the proposed modulation technique. |
| first_indexed | 2025-11-14T20:17:20Z |
| format | Conference or Workshop Item |
| id | nottingham-50567 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:17:20Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-505672020-05-04T19:10:32Z https://eprints.nottingham.ac.uk/50567/ A modulated model predictive control scheme for the brushless doubly-fed induction machine Li, Xuan Peng, Tao Dan, Hanbing Zhang, Guanguan Tang, Weiyi Wheeler, Patrick This paper proposes a modulated model predictive control (MMPC) algorithm for a brushless double-fed induction machine. The Brushless Doubly-Fed Induction Machine has some important advantages over alternative solutions for brushless machine applications. The proposed modulation technique achieves a fixed switching frequency, which gives good system performance. The paper examines the design and implementation of the modulation technique and simulation results verify the operation of the proposed modulation technique. 2017-10-02 Conference or Workshop Item PeerReviewed Li, Xuan, Peng, Tao, Dan, Hanbing, Zhang, Guanguan, Tang, Weiyi and Wheeler, Patrick (2017) A modulated model predictive control scheme for the brushless doubly-fed induction machine. In: IEEE Energy Conversion Congress and Exposition (ECCE) 2017, 1- 5 October 2017, Cincinnatti, OH, USA. Brushless doubly-fed induction machine; Modulated model predictive control http://ieeexplore.ieee.org/document/8095945/ |
| spellingShingle | Brushless doubly-fed induction machine; Modulated model predictive control Li, Xuan Peng, Tao Dan, Hanbing Zhang, Guanguan Tang, Weiyi Wheeler, Patrick A modulated model predictive control scheme for the brushless doubly-fed induction machine |
| title | A modulated model predictive control scheme for the brushless doubly-fed induction machine |
| title_full | A modulated model predictive control scheme for the brushless doubly-fed induction machine |
| title_fullStr | A modulated model predictive control scheme for the brushless doubly-fed induction machine |
| title_full_unstemmed | A modulated model predictive control scheme for the brushless doubly-fed induction machine |
| title_short | A modulated model predictive control scheme for the brushless doubly-fed induction machine |
| title_sort | modulated model predictive control scheme for the brushless doubly-fed induction machine |
| topic | Brushless doubly-fed induction machine; Modulated model predictive control |
| url | https://eprints.nottingham.ac.uk/50567/ https://eprints.nottingham.ac.uk/50567/ |