Hybrid FOT2F-FOPD controller for permanent magnet synchronization motor based on ILA optimization with SRF-PLL
Abstract Permanent magnet synchronous motor (PMSM) systems have gained popularity in various fields due to their advantages such as high speed, high accuracy, low maintenance, and high reliability. This paper presents the speed tracking control of a permanent magnet synchronous motor (PMSM) using a...
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Nature Portfolio
2024-06-01
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| Online Access: | https://doi.org/10.1038/s41598-024-62617-8 |
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| author | Mohamed Nouh Belal A. Zalam Amged Sayed |
| author_facet | Mohamed Nouh Belal A. Zalam Amged Sayed |
| author_sort | Mohamed Nouh |
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| description | Abstract Permanent magnet synchronous motor (PMSM) systems have gained popularity in various fields due to their advantages such as high speed, high accuracy, low maintenance, and high reliability. This paper presents the speed tracking control of a permanent magnet synchronous motor (PMSM) using a hybrid fractional order PI and type 2 fuzzy control with fractional order PD control (FOT2F-FOPD). The SRF-PLL observes the motor speed and estimates the rotor's position by interpreting the input voltages of the motor instead of using a sensor. Then, the controller parameters (gain, μ and λ) are tuned based on a novel optimization algorithm called Incomprehensible but Intelligible-in-time (IbI) Logics algorithm (ILA). The proposed controller enhances the performance of the system and regulates the speed of the motor under parameter variations such as the speed and the load. So, the proposed ILA (FOT2F-FOPD) controller is assessed using MATLAB/Simulink simulation and compared with other controller techniques. The proposed technique reduces the settling time, steady state error and overshoot by at least 65%, 54% and 53% respectively under load conditions compared with (PSO, optimized FOPD, FOPI and PI). While at no load condition, the settling time and the error are reduced by 31% and 12.5% respectively with no overshoot in output response. The results show a significant improvement in the performance of motors used with the application of the proposed controller and the employment of the (ILA) optimization compared with FOPI and PI controllers. |
| format | Article |
| id | doaj-art-9ae118d4aea74258b003f6b70447808d |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-9ae118d4aea74258b003f6b70447808d2025-01-05T12:25:37ZengNature PortfolioScientific Reports2045-23222024-06-0114112510.1038/s41598-024-62617-8Hybrid FOT2F-FOPD controller for permanent magnet synchronization motor based on ILA optimization with SRF-PLLMohamed Nouh0Belal A. Zalam1Amged Sayed2Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia UniversityDepartment of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia UniversityDepartment of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia UniversityAbstract Permanent magnet synchronous motor (PMSM) systems have gained popularity in various fields due to their advantages such as high speed, high accuracy, low maintenance, and high reliability. This paper presents the speed tracking control of a permanent magnet synchronous motor (PMSM) using a hybrid fractional order PI and type 2 fuzzy control with fractional order PD control (FOT2F-FOPD). The SRF-PLL observes the motor speed and estimates the rotor's position by interpreting the input voltages of the motor instead of using a sensor. Then, the controller parameters (gain, μ and λ) are tuned based on a novel optimization algorithm called Incomprehensible but Intelligible-in-time (IbI) Logics algorithm (ILA). The proposed controller enhances the performance of the system and regulates the speed of the motor under parameter variations such as the speed and the load. So, the proposed ILA (FOT2F-FOPD) controller is assessed using MATLAB/Simulink simulation and compared with other controller techniques. The proposed technique reduces the settling time, steady state error and overshoot by at least 65%, 54% and 53% respectively under load conditions compared with (PSO, optimized FOPD, FOPI and PI). While at no load condition, the settling time and the error are reduced by 31% and 12.5% respectively with no overshoot in output response. The results show a significant improvement in the performance of motors used with the application of the proposed controller and the employment of the (ILA) optimization compared with FOPI and PI controllers.https://doi.org/10.1038/s41598-024-62617-8Fractional orderPermanent magnet synchronous motorSRF Phase locked loopInterval type 2 fuzzy logic controllerIBI logics Algorithm (ILA) |
| spellingShingle | Mohamed Nouh Belal A. Zalam Amged Sayed Hybrid FOT2F-FOPD controller for permanent magnet synchronization motor based on ILA optimization with SRF-PLL Scientific Reports Fractional order Permanent magnet synchronous motor SRF Phase locked loop Interval type 2 fuzzy logic controller IBI logics Algorithm (ILA) |
| title | Hybrid FOT2F-FOPD controller for permanent magnet synchronization motor based on ILA optimization with SRF-PLL |
| title_full | Hybrid FOT2F-FOPD controller for permanent magnet synchronization motor based on ILA optimization with SRF-PLL |
| title_fullStr | Hybrid FOT2F-FOPD controller for permanent magnet synchronization motor based on ILA optimization with SRF-PLL |
| title_full_unstemmed | Hybrid FOT2F-FOPD controller for permanent magnet synchronization motor based on ILA optimization with SRF-PLL |
| title_short | Hybrid FOT2F-FOPD controller for permanent magnet synchronization motor based on ILA optimization with SRF-PLL |
| title_sort | hybrid fot2f fopd controller for permanent magnet synchronization motor based on ila optimization with srf pll |
| topic | Fractional order Permanent magnet synchronous motor SRF Phase locked loop Interval type 2 fuzzy logic controller IBI logics Algorithm (ILA) |
| url | https://doi.org/10.1038/s41598-024-62617-8 |
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