Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems
The current control of the permanent-magnet synchronous generator (PMSG) using an interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems is designed and implemented. PMSG is an energy conversion unit widely used in wind energy generation systems and energy storage systems. Its performance is determ...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-07-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/15/2953 |
| _version_ | 1798024287792136192 |
|---|---|
| author | Yuan-Chih Chang Chi-Ting Tsai Yong-Lin Lu |
| author_facet | Yuan-Chih Chang Chi-Ting Tsai Yong-Lin Lu |
| author_sort | Yuan-Chih Chang |
| collection | DOAJ |
| description | The current control of the permanent-magnet synchronous generator (PMSG) using an interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems is designed and implemented. PMSG is an energy conversion unit widely used in wind energy generation systems and energy storage systems. Its performance is determined by the current control approach. IT2 T-S fuzzy systems are implemented to deal with the nonlinearity of a PMSG system in this paper. First, the IT2 T-S fuzzy model of a PMSG is obtained. Second, the IT2 T-S fuzzy controller is designed based on the concept of parallel distributed compensation (PDC). Next, the stability analysis can be conducted through the Lyapunov theorem. Accordingly, the stability conditions of the closed-loop system are expressed in Linear Matrix Inequality (LMI) form. The AC power from a PMSG is converted to DC power via a three-phase six-switch full bridge converter. The six-switch full bridge converter is controlled by the proposed IT2 T-S fuzzy controller. The analog-to-digital (ADC) conversion, rotor position calculation and duty ratio determination are digitally accomplished by the microcontroller. Finally, simulation and experimental results verify the performance of the proposed current control. |
| first_indexed | 2024-04-11T18:00:00Z |
| format | Article |
| id | doaj.art-af6a206d739e45b694ef3bf789593b1b |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T18:00:00Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-af6a206d739e45b694ef3bf789593b1b2022-12-22T04:10:32ZengMDPI AGEnergies1996-10732019-07-011215295310.3390/en12152953en12152953Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy SystemsYuan-Chih Chang0Chi-Ting Tsai1Yong-Lin Lu2Department of Electrical Engineering and Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Chiayi 62102, TaiwanDepartment of Electrical Engineering and Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Chiayi 62102, TaiwanDepartment of Electrical Engineering and Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Chiayi 62102, TaiwanThe current control of the permanent-magnet synchronous generator (PMSG) using an interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems is designed and implemented. PMSG is an energy conversion unit widely used in wind energy generation systems and energy storage systems. Its performance is determined by the current control approach. IT2 T-S fuzzy systems are implemented to deal with the nonlinearity of a PMSG system in this paper. First, the IT2 T-S fuzzy model of a PMSG is obtained. Second, the IT2 T-S fuzzy controller is designed based on the concept of parallel distributed compensation (PDC). Next, the stability analysis can be conducted through the Lyapunov theorem. Accordingly, the stability conditions of the closed-loop system are expressed in Linear Matrix Inequality (LMI) form. The AC power from a PMSG is converted to DC power via a three-phase six-switch full bridge converter. The six-switch full bridge converter is controlled by the proposed IT2 T-S fuzzy controller. The analog-to-digital (ADC) conversion, rotor position calculation and duty ratio determination are digitally accomplished by the microcontroller. Finally, simulation and experimental results verify the performance of the proposed current control.https://www.mdpi.com/1996-1073/12/15/2953permanent-magnet synchronous generatorT-S fuzzycurrent controlinterval type-2 |
| spellingShingle | Yuan-Chih Chang Chi-Ting Tsai Yong-Lin Lu Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems Energies permanent-magnet synchronous generator T-S fuzzy current control interval type-2 |
| title | Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems |
| title_full | Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems |
| title_fullStr | Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems |
| title_full_unstemmed | Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems |
| title_short | Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems |
| title_sort | current control of the permanent magnet synchronous generator using interval type 2 t s fuzzy systems |
| topic | permanent-magnet synchronous generator T-S fuzzy current control interval type-2 |
| url | https://www.mdpi.com/1996-1073/12/15/2953 |
| work_keys_str_mv | AT yuanchihchang currentcontrolofthepermanentmagnetsynchronousgeneratorusingintervaltype2tsfuzzysystems AT chitingtsai currentcontrolofthepermanentmagnetsynchronousgeneratorusingintervaltype2tsfuzzysystems AT yonglinlu currentcontrolofthepermanentmagnetsynchronousgeneratorusingintervaltype2tsfuzzysystems |