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http://hdl.handle.net/10397/105791
| Title: | Recent advances in multi-phase electric drives model predictive control in renewable energy application : a state-of-the-art review | Authors: | Xue, Z Niu, S Chau, AMH Luo, Y Lin, H Li, X |
Issue Date: | Feb-2023 | Source: | World electric vehicle journal, Feb. 2023, v. 14, no. 2, 44 | Abstract: | Model predictive control (MPC) technology for multi-phase electric drives has received increasing attention in modern industries, especially in electric vehicles, marine electrical propulsion, and wind power generation. However, MPC has several challenges in controlling multi-phase electric drives, including the design of weighting factors, high computational complexity, large harmonic currents, heavy reliance on the system model, fault-tolerant control operation, common-mode voltage, and zero-sequence current hazards. Therefore, this paper gives a comprehensive review of the latest and most effective solutions to the existing major technical challenges and prospects for the future trends of MPC for multi-phase electric drives. | Keywords: | Fault-tolerant control Harmonic currents reduction Machine weighting factors Model predictive control Multi-phase |
Publisher: | MDPI AG | Journal: | World electric vehicle journal | EISSN: | 2032-6653 | DOI: | 10.3390/wevj14020044 | Rights: | Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). The following publication Xue Z, Niu S, Chau AMH, Luo Y, Lin H, Li X. Recent Advances in Multi-Phase Electric Drives Model Predictive Control in Renewable Energy Application: A State-of-the-Art Review. World Electric Vehicle Journal. 2023; 14(2):44 is available at https://doi.org/10.3390/wevj14020044. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| wevj-14-00044.pdf | 4.28 MB | Adobe PDF | View/Open |
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