Predictive Current Control of a Five-Phase Drive Using a Lead-Pursuit Strategy and Virtual Voltage Vectors
Modern electric machines are attracting the greatest interest from the research community due to their current increasing number of applications, including electric vehicles and wind power generators. Their use requires the development of complex regulators, where predictive controllers appear as in...
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MDPI AG
2025-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/10/5604 |
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| author | Federico Barrero Mario Bermúdez Manuel R. Arahal Ignacio González-Prieto |
| author_facet | Federico Barrero Mario Bermúdez Manuel R. Arahal Ignacio González-Prieto |
| author_sort | Federico Barrero |
| collection | DOAJ |
| description | Modern electric machines are attracting the greatest interest from the research community due to their current increasing number of applications, including electric vehicles and wind power generators. Their use requires the development of complex regulators, where predictive controllers appear as interesting and viable alternatives in recent research works. Although these controllers have an easy formulation and high flexibility to incorporate different control objectives in multidimensional systems, they have limitations that require attention and limit their application: a high computational cost and current harmonic content. This work presents a novel controller that focuses on these limitations, where the additional degree of freedom introduced in the predictive controller through the lead-pursuit guidance law concept is combined with the use of virtual voltage vectors to reduce the harmonic content in a controlled drive. The effectiveness of the proposed controller is explored using a five-phase drive and several figures of merit, such as the root mean square error in current tracking, the total harmonic distortion in the stator currents, and the number of switching commutations per cycle. Different predictive controllers are compared with the proposal in terms of speed regulation, stator current control, and steady-state performance, where the results obtained are analyzed to show the interest, improvements, and limitations of the proposal. |
| format | Article |
| id | doaj-art-0dbd537ee83445149faa390d608c5ed6 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-0dbd537ee83445149faa390d608c5ed62025-08-20T02:33:43ZengMDPI AGApplied Sciences2076-34172025-05-011510560410.3390/app15105604Predictive Current Control of a Five-Phase Drive Using a Lead-Pursuit Strategy and Virtual Voltage VectorsFederico Barrero0Mario Bermúdez1Manuel R. Arahal2Ignacio González-Prieto3Electronic Engineering Department, University of Seville, 41008 Seville, SpainElectrical Engineering Department, University of Seville, 41008 Seville, SpainDepartment of Systems Engineering and Automation, University of Seville, 41008 Seville, SpainElectrical Engineering Department, University of Malaga, 29016 Málaga, SpainModern electric machines are attracting the greatest interest from the research community due to their current increasing number of applications, including electric vehicles and wind power generators. Their use requires the development of complex regulators, where predictive controllers appear as interesting and viable alternatives in recent research works. Although these controllers have an easy formulation and high flexibility to incorporate different control objectives in multidimensional systems, they have limitations that require attention and limit their application: a high computational cost and current harmonic content. This work presents a novel controller that focuses on these limitations, where the additional degree of freedom introduced in the predictive controller through the lead-pursuit guidance law concept is combined with the use of virtual voltage vectors to reduce the harmonic content in a controlled drive. The effectiveness of the proposed controller is explored using a five-phase drive and several figures of merit, such as the root mean square error in current tracking, the total harmonic distortion in the stator currents, and the number of switching commutations per cycle. Different predictive controllers are compared with the proposal in terms of speed regulation, stator current control, and steady-state performance, where the results obtained are analyzed to show the interest, improvements, and limitations of the proposal.https://www.mdpi.com/2076-3417/15/10/5604electrical drivesfive-phase drivevirtual voltage vectorsstator current predictive control |
| spellingShingle | Federico Barrero Mario Bermúdez Manuel R. Arahal Ignacio González-Prieto Predictive Current Control of a Five-Phase Drive Using a Lead-Pursuit Strategy and Virtual Voltage Vectors Applied Sciences electrical drives five-phase drive virtual voltage vectors stator current predictive control |
| title | Predictive Current Control of a Five-Phase Drive Using a Lead-Pursuit Strategy and Virtual Voltage Vectors |
| title_full | Predictive Current Control of a Five-Phase Drive Using a Lead-Pursuit Strategy and Virtual Voltage Vectors |
| title_fullStr | Predictive Current Control of a Five-Phase Drive Using a Lead-Pursuit Strategy and Virtual Voltage Vectors |
| title_full_unstemmed | Predictive Current Control of a Five-Phase Drive Using a Lead-Pursuit Strategy and Virtual Voltage Vectors |
| title_short | Predictive Current Control of a Five-Phase Drive Using a Lead-Pursuit Strategy and Virtual Voltage Vectors |
| title_sort | predictive current control of a five phase drive using a lead pursuit strategy and virtual voltage vectors |
| topic | electrical drives five-phase drive virtual voltage vectors stator current predictive control |
| url | https://www.mdpi.com/2076-3417/15/10/5604 |
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