Control of Sensorless PMSM using State Dependent Model Reference Adaptive System and Adaptive Augmented Observer
Permanent magnet synchronous motors due to its high efficiency and power density, reliable performance and simple construction, industrially used. One of the problems with these Motor need accurate information to control its speed and position. Recently, because of the difficulties of the speed sens...
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| Format: | Article |
| Language: | fas |
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Semnan University
2021-01-01
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| Series: | مجله مدل سازی در مهندسی |
| Subjects: | |
| Online Access: | https://modelling.semnan.ac.ir/article_4863_0b572508878c3b8ec4455f4a1edf34a0.pdf |
| _version_ | 1797296545099415552 |
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| author | Ahmad Izadinasab Mahmood Ghanbari |
| author_facet | Ahmad Izadinasab Mahmood Ghanbari |
| author_sort | Ahmad Izadinasab |
| collection | DOAJ |
| description | Permanent magnet synchronous motors due to its high efficiency and power density, reliable performance and simple construction, industrially used. One of the problems with these Motor need accurate information to control its speed and position. Recently, because of the difficulties of the speed sensors, speed estimation is used instead of measuring it. In this paper, the state dependent model reference adaptive controller based on pseudo linearization is used to control the permanent magnet synchronous motor that its parameters are determined based on Lyapunov theory. This controller show good results by production control law, despite changing circumstances and maintain system stability despite external disturbances. Also due to uncertainty in the estimation of the position and speed of motor parameters, high impact, online identification of these parameters is necessary. In this paper, adaptive augmented observer is used to estimate speed and identify motor parameters online. The main advantage of this estimator is that speed and load torque estimation and identification of parameters are simultaneously thus volume and time calculations are reduced. The simulation results show convenient tracking of desired speed with the load torque, changing the motor parameters and the speed reference. |
| first_indexed | 2024-03-07T22:06:18Z |
| format | Article |
| id | doaj.art-90282480168142818497997dc1bcccd0 |
| institution | Directory Open Access Journal |
| issn | 2008-4854 2783-2538 |
| language | fas |
| last_indexed | 2024-03-07T22:06:18Z |
| publishDate | 2021-01-01 |
| publisher | Semnan University |
| record_format | Article |
| series | مجله مدل سازی در مهندسی |
| spelling | doaj.art-90282480168142818497997dc1bcccd02024-02-23T19:08:16ZfasSemnan Universityمجله مدل سازی در مهندسی2008-48542783-25382021-01-011863859510.22075/jme.2020.20226.18904863Control of Sensorless PMSM using State Dependent Model Reference Adaptive System and Adaptive Augmented ObserverAhmad Izadinasab0Mahmood Ghanbari1Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, IranDepartment of Electrical Engineering, Gorgan Branch, Islamic Azad University, Gorgan, IranPermanent magnet synchronous motors due to its high efficiency and power density, reliable performance and simple construction, industrially used. One of the problems with these Motor need accurate information to control its speed and position. Recently, because of the difficulties of the speed sensors, speed estimation is used instead of measuring it. In this paper, the state dependent model reference adaptive controller based on pseudo linearization is used to control the permanent magnet synchronous motor that its parameters are determined based on Lyapunov theory. This controller show good results by production control law, despite changing circumstances and maintain system stability despite external disturbances. Also due to uncertainty in the estimation of the position and speed of motor parameters, high impact, online identification of these parameters is necessary. In this paper, adaptive augmented observer is used to estimate speed and identify motor parameters online. The main advantage of this estimator is that speed and load torque estimation and identification of parameters are simultaneously thus volume and time calculations are reduced. The simulation results show convenient tracking of desired speed with the load torque, changing the motor parameters and the speed reference.https://modelling.semnan.ac.ir/article_4863_0b572508878c3b8ec4455f4a1edf34a0.pdfpermanent magnet synchronous motorstate dependent model reference adaptive controllerlyapunov stabilityadaptive augmented observeronline parameter identification |
| spellingShingle | Ahmad Izadinasab Mahmood Ghanbari Control of Sensorless PMSM using State Dependent Model Reference Adaptive System and Adaptive Augmented Observer مجله مدل سازی در مهندسی permanent magnet synchronous motor state dependent model reference adaptive controller lyapunov stability adaptive augmented observer online parameter identification |
| title | Control of Sensorless PMSM using State Dependent Model Reference Adaptive System and Adaptive Augmented Observer |
| title_full | Control of Sensorless PMSM using State Dependent Model Reference Adaptive System and Adaptive Augmented Observer |
| title_fullStr | Control of Sensorless PMSM using State Dependent Model Reference Adaptive System and Adaptive Augmented Observer |
| title_full_unstemmed | Control of Sensorless PMSM using State Dependent Model Reference Adaptive System and Adaptive Augmented Observer |
| title_short | Control of Sensorless PMSM using State Dependent Model Reference Adaptive System and Adaptive Augmented Observer |
| title_sort | control of sensorless pmsm using state dependent model reference adaptive system and adaptive augmented observer |
| topic | permanent magnet synchronous motor state dependent model reference adaptive controller lyapunov stability adaptive augmented observer online parameter identification |
| url | https://modelling.semnan.ac.ir/article_4863_0b572508878c3b8ec4455f4a1edf34a0.pdf |
| work_keys_str_mv | AT ahmadizadinasab controlofsensorlesspmsmusingstatedependentmodelreferenceadaptivesystemandadaptiveaugmentedobserver AT mahmoodghanbari controlofsensorlesspmsmusingstatedependentmodelreferenceadaptivesystemandadaptiveaugmentedobserver |