Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation
Abstract The permanent magnet synchronous motor control system is characterized by its nonlinear and strongly coupled complexity, presenting significant challenges for control performance optimization. To address these challenges, a Fuzzy adaptive fractional order $$PD^{\mu }$$ control strategy base...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-84768-4 |
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| author | Dejun Liu Junjie Han Guangda Chen Yanming Cheng Xinyue Liang Chao Song |
| author_facet | Dejun Liu Junjie Han Guangda Chen Yanming Cheng Xinyue Liang Chao Song |
| author_sort | Dejun Liu |
| collection | DOAJ |
| description | Abstract The permanent magnet synchronous motor control system is characterized by its nonlinear and strongly coupled complexity, presenting significant challenges for control performance optimization. To address these challenges, a Fuzzy adaptive fractional order $$PD^{\mu }$$ control strategy based on torque observation compensation is proposed. The parameters of the fractional order $$PD^{\mu }$$ controller are optimized real time using fuzzy logic reasoning, in order to enhance the speed of parameters tuning, a graphical design method of the fractional order $$PD^{\mu }$$ controller parameters based on frequency domain performance indicators is proposed to obtain the initial values of the fuzzy adaptive fractional order $$PD^{\mu }$$ controller parameters graphically and intuitively. Furthermore, a load torque observer is designed to improve the anti interference capability of the system by proportionally converting the observed load torque into compensation current in equal proportion. Simulation and experimental results validate that the proposed strategy demonstrates superior dynamic and static performance, as well as robustness. |
| format | Article |
| id | doaj-art-6ae6408f11f14d258fa53754db8ffeef |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-6ae6408f11f14d258fa53754db8ffeef2025-01-19T12:23:16ZengNature PortfolioScientific Reports2045-23222025-01-0115112010.1038/s41598-024-84768-4Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensationDejun Liu0Junjie Han1Guangda Chen2Yanming Cheng3Xinyue Liang4Chao Song5Engineering Training Center, Beihua UniversityCollege of Electrical and Information Engineering, Beihua UniversityCollege of Electrical and Information Engineering, Beihua UniversityCollege of Electrical and Information Engineering, Beihua UniversityCollege of Electrical and Information Engineering, Beihua UniversityChangchun Automobile Economic & Technological Development Zone Employment Service BureauAbstract The permanent magnet synchronous motor control system is characterized by its nonlinear and strongly coupled complexity, presenting significant challenges for control performance optimization. To address these challenges, a Fuzzy adaptive fractional order $$PD^{\mu }$$ control strategy based on torque observation compensation is proposed. The parameters of the fractional order $$PD^{\mu }$$ controller are optimized real time using fuzzy logic reasoning, in order to enhance the speed of parameters tuning, a graphical design method of the fractional order $$PD^{\mu }$$ controller parameters based on frequency domain performance indicators is proposed to obtain the initial values of the fuzzy adaptive fractional order $$PD^{\mu }$$ controller parameters graphically and intuitively. Furthermore, a load torque observer is designed to improve the anti interference capability of the system by proportionally converting the observed load torque into compensation current in equal proportion. Simulation and experimental results validate that the proposed strategy demonstrates superior dynamic and static performance, as well as robustness.https://doi.org/10.1038/s41598-024-84768-4PMSMFractional order $$PD^{\mu }$$Fuzzy logic reasoningFrequency domain method for parameter tuningTorque observer |
| spellingShingle | Dejun Liu Junjie Han Guangda Chen Yanming Cheng Xinyue Liang Chao Song Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation Scientific Reports PMSM Fractional order $$PD^{\mu }$$ Fuzzy logic reasoning Frequency domain method for parameter tuning Torque observer |
| title | Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation |
| title_full | Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation |
| title_fullStr | Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation |
| title_full_unstemmed | Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation |
| title_short | Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation |
| title_sort | fuzzy self tuning fractional order pd permanent magnet synchronous motor speed control based on torque compensation |
| topic | PMSM Fractional order $$PD^{\mu }$$ Fuzzy logic reasoning Frequency domain method for parameter tuning Torque observer |
| url | https://doi.org/10.1038/s41598-024-84768-4 |
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