Investigation on ANFIS-GA controller for speed control of a BLDC fed hybrid source electric vehicle
The BLDC (Brushless DC Motor) is utilized in electric vehicles, space missions, and mechanical applications. Neural Network Inference System reduces torque ripple for hybrid electric vehicle (PV-Battery) along with BLDC drive to achieve efficient speed performance and stability. A hybrid input sourc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2024-01-01
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| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/ew/article/view/4965 |
| _version_ | 1797339316998897664 |
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| author | P. Jagadish Babu A. Geetha |
| author_facet | P. Jagadish Babu A. Geetha |
| author_sort | P. Jagadish Babu |
| collection | DOAJ |
| description | The BLDC (Brushless DC Motor) is utilized in electric vehicles, space missions, and mechanical applications. Neural Network Inference System reduces torque ripple for hybrid electric vehicle (PV-Battery) along with BLDC drive to achieve efficient speed performance and stability. A hybrid input source methodology is thus put forwarded to drive the stator currents giving exactly the expressed electromagnetic torque and counter-EMF harmonics. The torque and speed control technique are directed to neural network interference system, and H6 Voltage Source Inverter (H6 VSI) drives BLDC with a gate pulse signal. We examine how an ANFIS-GA torque controller may eliminate BLDC torque ripples under uninterrupted hybrid power supply in this work. MATLAB (Simulink) results show that Genetic Algorithm (GA) improves training of ANFIS better with varying set speed conditions. The ANFIS-GA controller outperforms challenging controllers under various BLDC motor driving load conditions, proving its efficiency.
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| first_indexed | 2024-03-08T09:44:15Z |
| format | Article |
| id | doaj.art-fa86d88bb79843269f9a95f8eff7ab7d |
| institution | Directory Open Access Journal |
| issn | 2032-944X |
| language | English |
| last_indexed | 2024-03-08T09:44:15Z |
| publishDate | 2024-01-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Energy Web |
| spelling | doaj.art-fa86d88bb79843269f9a95f8eff7ab7d2024-01-29T18:52:28ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2024-01-011110.4108/ew.4965Investigation on ANFIS-GA controller for speed control of a BLDC fed hybrid source electric vehicleP. Jagadish Babu0A. Geetha1SRM Institute of Science and Technology SRM Institute of Science and Technology The BLDC (Brushless DC Motor) is utilized in electric vehicles, space missions, and mechanical applications. Neural Network Inference System reduces torque ripple for hybrid electric vehicle (PV-Battery) along with BLDC drive to achieve efficient speed performance and stability. A hybrid input source methodology is thus put forwarded to drive the stator currents giving exactly the expressed electromagnetic torque and counter-EMF harmonics. The torque and speed control technique are directed to neural network interference system, and H6 Voltage Source Inverter (H6 VSI) drives BLDC with a gate pulse signal. We examine how an ANFIS-GA torque controller may eliminate BLDC torque ripples under uninterrupted hybrid power supply in this work. MATLAB (Simulink) results show that Genetic Algorithm (GA) improves training of ANFIS better with varying set speed conditions. The ANFIS-GA controller outperforms challenging controllers under various BLDC motor driving load conditions, proving its efficiency. https://publications.eai.eu/index.php/ew/article/view/4965PVBattery PackANFISGAH6VSI |
| spellingShingle | P. Jagadish Babu A. Geetha Investigation on ANFIS-GA controller for speed control of a BLDC fed hybrid source electric vehicle EAI Endorsed Transactions on Energy Web PV Battery Pack ANFIS GA H6 VSI |
| title | Investigation on ANFIS-GA controller for speed control of a BLDC fed hybrid source electric vehicle |
| title_full | Investigation on ANFIS-GA controller for speed control of a BLDC fed hybrid source electric vehicle |
| title_fullStr | Investigation on ANFIS-GA controller for speed control of a BLDC fed hybrid source electric vehicle |
| title_full_unstemmed | Investigation on ANFIS-GA controller for speed control of a BLDC fed hybrid source electric vehicle |
| title_short | Investigation on ANFIS-GA controller for speed control of a BLDC fed hybrid source electric vehicle |
| title_sort | investigation on anfis ga controller for speed control of a bldc fed hybrid source electric vehicle |
| topic | PV Battery Pack ANFIS GA H6 VSI |
| url | https://publications.eai.eu/index.php/ew/article/view/4965 |
| work_keys_str_mv | AT pjagadishbabu investigationonanfisgacontrollerforspeedcontrolofabldcfedhybridsourceelectricvehicle AT ageetha investigationonanfisgacontrollerforspeedcontrolofabldcfedhybridsourceelectricvehicle |