Modified Brain Emotional Controller-Based Ripple Minimization for SVM-DTC of Sensorless Induction Motor Drive
This paper presents the Modified Brain Emotional Controller (MBEC) technique for the minimization of torque and flux ripples of sensorless Induction Motor (IM) drive. In low-speed operation, IM is very sensitive due to variations in torque and flux ripples. These variations inert low order harmonics...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9751103/ |
| _version_ | 1818523023245836288 |
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| author | Sridhar Savarapu Md. Qutubuddin Yadaiah Narri |
| author_facet | Sridhar Savarapu Md. Qutubuddin Yadaiah Narri |
| author_sort | Sridhar Savarapu |
| collection | DOAJ |
| description | This paper presents the Modified Brain Emotional Controller (MBEC) technique for the minimization of torque and flux ripples of sensorless Induction Motor (IM) drive. In low-speed operation, IM is very sensitive due to variations in torque and flux ripples. These variations inert low order harmonics in stator currents that adversely affect the performance of the IM drive. The drive’s performance can be improved by integrating a controller that not only minimizes harmonic presence but also increases the drive’s performance. In this paper a biological inspired intelligent speed controller namely, MBEC is proposed to obtain improved performance from the drive. The input to the MBEC is an error of the reference speed and the actual speed of the motor that is estimated using the Model Reference Adaptive System (MRAS). SVM based topology is used to develop the inverter and IM is operated in sensorless DTC technique. Stability analysis of MBEC based IM drive is presented in this paper to hold the effectiveness. The proposed control configuration is tested with different operating conditions and obtained results are verified through real-time experimentation using Opal-RT OP5600. The performance of the proposed control algorithm is compared with the BEC and PI techniques to hold the effectiveness in terms of low flux ripples and torque ripples in different operating conditions. |
| first_indexed | 2024-12-11T05:40:13Z |
| format | Article |
| id | doaj.art-fd4be5974a034b3c9a0902ee78544277 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-11T05:40:13Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-fd4be5974a034b3c9a0902ee785442772022-12-22T01:19:09ZengIEEEIEEE Access2169-35362022-01-0110408724088710.1109/ACCESS.2022.31656519751103Modified Brain Emotional Controller-Based Ripple Minimization for SVM-DTC of Sensorless Induction Motor DriveSridhar Savarapu0https://orcid.org/0000-0002-6686-4341Md. Qutubuddin1https://orcid.org/0000-0002-2244-3043Yadaiah Narri2Department of Electrical and Electronics Engineering, JNTUA College of Engineering Ananthapur, Ananthapur, Andhra Pradesh, IndiaDepartment of Electrical and Electronics Engineering, TKR College of Engineering and Technology, Hyderabad, Telangana, IndiaDepartment of Electrical and Electronics Engineering, JNTUH College of Engineering, Hyderabad, Telangana, IndiaThis paper presents the Modified Brain Emotional Controller (MBEC) technique for the minimization of torque and flux ripples of sensorless Induction Motor (IM) drive. In low-speed operation, IM is very sensitive due to variations in torque and flux ripples. These variations inert low order harmonics in stator currents that adversely affect the performance of the IM drive. The drive’s performance can be improved by integrating a controller that not only minimizes harmonic presence but also increases the drive’s performance. In this paper a biological inspired intelligent speed controller namely, MBEC is proposed to obtain improved performance from the drive. The input to the MBEC is an error of the reference speed and the actual speed of the motor that is estimated using the Model Reference Adaptive System (MRAS). SVM based topology is used to develop the inverter and IM is operated in sensorless DTC technique. Stability analysis of MBEC based IM drive is presented in this paper to hold the effectiveness. The proposed control configuration is tested with different operating conditions and obtained results are verified through real-time experimentation using Opal-RT OP5600. The performance of the proposed control algorithm is compared with the BEC and PI techniques to hold the effectiveness in terms of low flux ripples and torque ripples in different operating conditions.https://ieeexplore.ieee.org/document/9751103/Modified brain emotional controllermodel reference adaptive systemsensorless IM drivedirect torque controlspace vector modulation |
| spellingShingle | Sridhar Savarapu Md. Qutubuddin Yadaiah Narri Modified Brain Emotional Controller-Based Ripple Minimization for SVM-DTC of Sensorless Induction Motor Drive IEEE Access Modified brain emotional controller model reference adaptive system sensorless IM drive direct torque control space vector modulation |
| title | Modified Brain Emotional Controller-Based Ripple Minimization for SVM-DTC of Sensorless Induction Motor Drive |
| title_full | Modified Brain Emotional Controller-Based Ripple Minimization for SVM-DTC of Sensorless Induction Motor Drive |
| title_fullStr | Modified Brain Emotional Controller-Based Ripple Minimization for SVM-DTC of Sensorless Induction Motor Drive |
| title_full_unstemmed | Modified Brain Emotional Controller-Based Ripple Minimization for SVM-DTC of Sensorless Induction Motor Drive |
| title_short | Modified Brain Emotional Controller-Based Ripple Minimization for SVM-DTC of Sensorless Induction Motor Drive |
| title_sort | modified brain emotional controller based ripple minimization for svm dtc of sensorless induction motor drive |
| topic | Modified brain emotional controller model reference adaptive system sensorless IM drive direct torque control space vector modulation |
| url | https://ieeexplore.ieee.org/document/9751103/ |
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