Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor
The fuzzy controller is a popular choice for permanent magnet synchronous motor (PMSM) control systems because of its advantages, such as straightforward design, and no reliance on the precise mathematical model of the motor. But the existing pure PI-like fuzzy control strategy still has some disadv...
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MDPI AG
2025-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/2/362 |
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| _version_ | 1832588576664059904 |
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| author | Wenshao Bu Shihao Guo Zongang Fan Jinwei Li |
| author_facet | Wenshao Bu Shihao Guo Zongang Fan Jinwei Li |
| author_sort | Wenshao Bu |
| collection | DOAJ |
| description | The fuzzy controller is a popular choice for permanent magnet synchronous motor (PMSM) control systems because of its advantages, such as straightforward design, and no reliance on the precise mathematical model of the motor. But the existing pure PI-like fuzzy control strategy still has some disadvantages, such as poor adaptive ability and large overshooting. This work redevelops the structure and rules of the adaptive fuzzy controller, and proposes and proves an improved adaptive PI-like fuzzy control algorithm for the PMSM system. Firstly, a parallel dual fuzzy controller structure is constructed to facilitate the adaptive adjustment of the “PI-like fuzzy controller”. Secondly, the error acceleration parameter <i>r<sub>v</sub></i>(<i>k</i>), which contains the PMSM speed information, is set and normalized to accurately identify the dynamic response stages of the PMSM system. Lastly, an adaptive fuzzy rule table is designed based on the dynamic response waveform of the PMSM system, and the control characterization is analyzed. The simulation and experimental results of the PMSM system show that the improved adaptive PI-like fuzzy controller has a broad dynamic adjustment range, the PMSM can rapidly and smoothly reach the given speed during the startup stage with small overshooting, the speed drop is low when the load is abruptly added, the PMSM system can quickly return to the steady state with a strong adaptive ability, and its dynamic performance indicators surpass those of the PID controller and traditional PI-like fuzzy controller. |
| format | Article |
| id | doaj-art-b90bed34a9d241a38ce3ff469bc0bf87 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-b90bed34a9d241a38ce3ff469bc0bf872025-01-24T13:31:12ZengMDPI AGEnergies1996-10732025-01-0118236210.3390/en18020362Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous MotorWenshao Bu0Shihao Guo1Zongang Fan2Jinwei Li3College of Information Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaCollege of Information Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaCollege of Information Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaCollege of Information Engineering, Henan University of Science and Technology, Luoyang 471023, ChinaThe fuzzy controller is a popular choice for permanent magnet synchronous motor (PMSM) control systems because of its advantages, such as straightforward design, and no reliance on the precise mathematical model of the motor. But the existing pure PI-like fuzzy control strategy still has some disadvantages, such as poor adaptive ability and large overshooting. This work redevelops the structure and rules of the adaptive fuzzy controller, and proposes and proves an improved adaptive PI-like fuzzy control algorithm for the PMSM system. Firstly, a parallel dual fuzzy controller structure is constructed to facilitate the adaptive adjustment of the “PI-like fuzzy controller”. Secondly, the error acceleration parameter <i>r<sub>v</sub></i>(<i>k</i>), which contains the PMSM speed information, is set and normalized to accurately identify the dynamic response stages of the PMSM system. Lastly, an adaptive fuzzy rule table is designed based on the dynamic response waveform of the PMSM system, and the control characterization is analyzed. The simulation and experimental results of the PMSM system show that the improved adaptive PI-like fuzzy controller has a broad dynamic adjustment range, the PMSM can rapidly and smoothly reach the given speed during the startup stage with small overshooting, the speed drop is low when the load is abruptly added, the PMSM system can quickly return to the steady state with a strong adaptive ability, and its dynamic performance indicators surpass those of the PID controller and traditional PI-like fuzzy controller.https://www.mdpi.com/1996-1073/18/2/362permanent magnet synchronous motornormalized error accelerationPI-like fuzzy controlleradaptive abilityscaling factor |
| spellingShingle | Wenshao Bu Shihao Guo Zongang Fan Jinwei Li Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor Energies permanent magnet synchronous motor normalized error acceleration PI-like fuzzy controller adaptive ability scaling factor |
| title | Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor |
| title_full | Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor |
| title_fullStr | Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor |
| title_full_unstemmed | Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor |
| title_short | Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor |
| title_sort | improved adaptive pi like fuzzy control strategy of permanent magnet synchronous motor |
| topic | permanent magnet synchronous motor normalized error acceleration PI-like fuzzy controller adaptive ability scaling factor |
| url | https://www.mdpi.com/1996-1073/18/2/362 |
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