Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables
A problem of the switched reluctance drive is its natural torque pulsations, which are partially solved with finite control set model predictive control strategies. However, the continuous control set model predictive control, required for precise torque stabilization and predictable power converter...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/13/3317 |
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| author | Alecksey Anuchin Galina L. Demidova Chen Hao Alexandr Zharkov Andrei Bogdanov Václav Šmídl |
| author_facet | Alecksey Anuchin Galina L. Demidova Chen Hao Alexandr Zharkov Andrei Bogdanov Václav Šmídl |
| author_sort | Alecksey Anuchin |
| collection | DOAJ |
| description | A problem of the switched reluctance drive is its natural torque pulsations, which are partially solved with finite control set model predictive control strategies. However, the continuous control set model predictive control, required for precise torque stabilization and predictable power converter behavior, needs sufficient computation resources, thus limiting its practical implementation. The proposed model predictive control strategy utilizes offline processing of the magnetization surface of the switched reluctance motor. This helps to obtain precalculated current references for each torque command and rotor angular position in the offline mode. In online mode, the model predictive control strategy implements the current commands using the magnetization surface for fast evaluation of the required voltage command for the power converter. The proposed strategy needs only two lookup table operations requiring very small computation time, making instant execution of the whole control system possible and thereby minimizing the control delay. The proposed solution was examined using a simulation model, which showed precise and rapid torque stabilization below rated speed. |
| first_indexed | 2024-03-10T18:48:37Z |
| format | Article |
| id | doaj.art-a8a32e0cbe0d492d8a39bb9997686b12 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T18:48:37Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a8a32e0cbe0d492d8a39bb9997686b122023-11-20T05:17:58ZengMDPI AGEnergies1996-10732020-06-011313331710.3390/en13133317Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup TablesAlecksey Anuchin0Galina L. Demidova1Chen Hao2Alexandr Zharkov3Andrei Bogdanov4Václav Šmídl5Department of Electric Drives, Moscow Power Engineering Institute, 111250 Moscow, RussiaFaculty of Control Systems and Robotics, ITMO University, 197101 Saint Petersburg, RussiaSchool of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaDepartment of Electric Drives, Moscow Power Engineering Institute, 111250 Moscow, RussiaFaculty of Control Systems and Robotics, ITMO University, 197101 Saint Petersburg, RussiaDepartment of Adaptive Systems, Institute of Information Theory and Automation, CZ-182 00 Prague, Czech RepublicA problem of the switched reluctance drive is its natural torque pulsations, which are partially solved with finite control set model predictive control strategies. However, the continuous control set model predictive control, required for precise torque stabilization and predictable power converter behavior, needs sufficient computation resources, thus limiting its practical implementation. The proposed model predictive control strategy utilizes offline processing of the magnetization surface of the switched reluctance motor. This helps to obtain precalculated current references for each torque command and rotor angular position in the offline mode. In online mode, the model predictive control strategy implements the current commands using the magnetization surface for fast evaluation of the required voltage command for the power converter. The proposed strategy needs only two lookup table operations requiring very small computation time, making instant execution of the whole control system possible and thereby minimizing the control delay. The proposed solution was examined using a simulation model, which showed precise and rapid torque stabilization below rated speed.https://www.mdpi.com/1996-1073/13/13/3317switched reluctance motor drivemodel predictive controlcontinuous control setpulse-width modulationmagnetization surfaceelectrical drive |
| spellingShingle | Alecksey Anuchin Galina L. Demidova Chen Hao Alexandr Zharkov Andrei Bogdanov Václav Šmídl Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables Energies switched reluctance motor drive model predictive control continuous control set pulse-width modulation magnetization surface electrical drive |
| title | Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables |
| title_full | Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables |
| title_fullStr | Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables |
| title_full_unstemmed | Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables |
| title_short | Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables |
| title_sort | continuous control set model predictive control of a switch reluctance drive using lookup tables |
| topic | switched reluctance motor drive model predictive control continuous control set pulse-width modulation magnetization surface electrical drive |
| url | https://www.mdpi.com/1996-1073/13/13/3317 |
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