Improved Interconnected MRAS Parameter Identification for Speed Sensorless Control of Linear Induction Motor
After eliminating the speed sensor in the linear induction motor (LIM) high-performance closed-loop control system, the speed feedback information is missing in the speed closed loop. The accuracy of speed observation results is affected by changes in magnetizing inductance and primary resistance. T...
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MDPI AG
2024-12-01
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| Series: | Actuators |
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| Online Access: | https://www.mdpi.com/2076-0825/14/1/2 |
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| author | Hailin Hu Shiyan Yu Liangjie Ren Mingda Zhai Yuhui Chen |
| author_facet | Hailin Hu Shiyan Yu Liangjie Ren Mingda Zhai Yuhui Chen |
| author_sort | Hailin Hu |
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| description | After eliminating the speed sensor in the linear induction motor (LIM) high-performance closed-loop control system, the speed feedback information is missing in the speed closed loop. The accuracy of speed observation results is affected by changes in magnetizing inductance and primary resistance. This effect can cause significant oscillations in the results of the speed sensorless control system, preventing them from converging. An enhanced model reference adaptive system (MRAS) multi-parameter parallel identification methodology based on the interconnected second-order super-twisting algorithm (SOSTA) is proposed. To enhance the system’s dynamic performance, we designed an improvement to the MRAS observer based on the SOSTA, with a focus on the LIM state-space equation that considers dynamic edge-end effects. The impact of parameter alterations on the LIM system is examined. To improve speed observation accuracy and system stability, a two-parameter MRAS identification model was created. The Popov hyperstability principle was used to formulate control laws for these two parameters, ultimately enabling the identification of these two parameters. The identified values were fed back to the speed observation and control system, which reduces the coupling of these two parameters and speed. Simulation and hardware-in-the-loop experiments demonstrate that the observation system estimates speed accurately when these two parameters undergo abrupt changes within the rated speed range, enhancing the precision and robustness of the speed sensorless control system. |
| format | Article |
| id | doaj-art-127a474fabed49dfa7afbe557b7ab07d |
| institution | Kabale University |
| issn | 2076-0825 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Actuators |
| spelling | doaj-art-127a474fabed49dfa7afbe557b7ab07d2025-01-24T13:15:07ZengMDPI AGActuators2076-08252024-12-01141210.3390/act14010002Improved Interconnected MRAS Parameter Identification for Speed Sensorless Control of Linear Induction MotorHailin Hu0Shiyan Yu1Liangjie Ren2Mingda Zhai3Yuhui Chen4Jiangxi Provincial Key Laboratory of Maglev Rail Transit Equipment, Jiangxi University of Science and Technology, Ganzhou 341000, ChinaJiangxi Provincial Key Laboratory of Maglev Rail Transit Equipment, Jiangxi University of Science and Technology, Ganzhou 341000, ChinaJiangxi Provincial Key Laboratory of Maglev Rail Transit Equipment, Jiangxi University of Science and Technology, Ganzhou 341000, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaJiangxi Provincial Key Laboratory of Maglev Rail Transit Equipment, Jiangxi University of Science and Technology, Ganzhou 341000, ChinaAfter eliminating the speed sensor in the linear induction motor (LIM) high-performance closed-loop control system, the speed feedback information is missing in the speed closed loop. The accuracy of speed observation results is affected by changes in magnetizing inductance and primary resistance. This effect can cause significant oscillations in the results of the speed sensorless control system, preventing them from converging. An enhanced model reference adaptive system (MRAS) multi-parameter parallel identification methodology based on the interconnected second-order super-twisting algorithm (SOSTA) is proposed. To enhance the system’s dynamic performance, we designed an improvement to the MRAS observer based on the SOSTA, with a focus on the LIM state-space equation that considers dynamic edge-end effects. The impact of parameter alterations on the LIM system is examined. To improve speed observation accuracy and system stability, a two-parameter MRAS identification model was created. The Popov hyperstability principle was used to formulate control laws for these two parameters, ultimately enabling the identification of these two parameters. The identified values were fed back to the speed observation and control system, which reduces the coupling of these two parameters and speed. Simulation and hardware-in-the-loop experiments demonstrate that the observation system estimates speed accurately when these two parameters undergo abrupt changes within the rated speed range, enhancing the precision and robustness of the speed sensorless control system.https://www.mdpi.com/2076-0825/14/1/2LIMspeed sensorless controlMRASSOSTAmulti-parameter identification |
| spellingShingle | Hailin Hu Shiyan Yu Liangjie Ren Mingda Zhai Yuhui Chen Improved Interconnected MRAS Parameter Identification for Speed Sensorless Control of Linear Induction Motor Actuators LIM speed sensorless control MRAS SOSTA multi-parameter identification |
| title | Improved Interconnected MRAS Parameter Identification for Speed Sensorless Control of Linear Induction Motor |
| title_full | Improved Interconnected MRAS Parameter Identification for Speed Sensorless Control of Linear Induction Motor |
| title_fullStr | Improved Interconnected MRAS Parameter Identification for Speed Sensorless Control of Linear Induction Motor |
| title_full_unstemmed | Improved Interconnected MRAS Parameter Identification for Speed Sensorless Control of Linear Induction Motor |
| title_short | Improved Interconnected MRAS Parameter Identification for Speed Sensorless Control of Linear Induction Motor |
| title_sort | improved interconnected mras parameter identification for speed sensorless control of linear induction motor |
| topic | LIM speed sensorless control MRAS SOSTA multi-parameter identification |
| url | https://www.mdpi.com/2076-0825/14/1/2 |
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