A Hybrid Approach for an Efficient Estimation and Control of Permanent Magnet Synchronous Motor with Fast Dynamics and Practically Unavailable Measurements
This paper presents an interesting hybrid solution to a challenging estimation and control problem of the Permanent Magnet Synchronous Motor (PMSM). Apart from the inherently nonlinear nature of the PMSM, which makes this problem particularly challenging, is the unavailability of the measurements, r...
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2022-05-01
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author | Kashif Shahzad Muhammad Jawad Khurram Ali Jahanzeb Akhtar Ikramullah Khosa Mohit Bajaj Ehab E. Elattar Salah Kamel |
author_facet | Kashif Shahzad Muhammad Jawad Khurram Ali Jahanzeb Akhtar Ikramullah Khosa Mohit Bajaj Ehab E. Elattar Salah Kamel |
author_sort | Kashif Shahzad |
collection | DOAJ |
description | This paper presents an interesting hybrid solution to a challenging estimation and control problem of the Permanent Magnet Synchronous Motor (PMSM). Apart from the inherently nonlinear nature of the PMSM, which makes this problem particularly challenging, is the unavailability of the measurements, rotor position, and speed. In an effort to efficiently cope with such issues along with the random noise environment, the Unscented Kalman Filter (UKF) is chosen to estimate the states of the PMSM dynamic system and the Model Predictive Control (MPC) is utilized to control the state space vector in Pulse Width Modulation (PWM). Additionally, the MPC has also been implemented in combination with the Extended Kalman Filter (EKF) and also with Sliding Mode Control (SMC), in order to vigorously compare these hybrid approaches in terms of accuracy, robustness, and transient response. The MPC-UKF, a combination that has never been implemented before, outperforms the other two by efficiently dealing with the issues of high nonlinearities, by accurately estimating the states while the measurements were practically unavailable, and coping with the fast dynamics of the PMSM. |
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language | English |
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spelling | doaj.art-cf0595b1e17444d89e980053c37ff3c82023-11-23T09:55:37ZengMDPI AGApplied Sciences2076-34172022-05-011210495810.3390/app12104958A Hybrid Approach for an Efficient Estimation and Control of Permanent Magnet Synchronous Motor with Fast Dynamics and Practically Unavailable MeasurementsKashif Shahzad0Muhammad Jawad1Khurram Ali2Jahanzeb Akhtar3Ikramullah Khosa4Mohit Bajaj5Ehab E. Elattar6Salah Kamel7Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Punjab 54000, PakistanDepartment of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Punjab 54000, PakistanDepartment of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Punjab 54000, PakistanDepartment of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Punjab 54000, PakistanDepartment of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore Campus, Punjab 54000, PakistanDepartment of Electrical and Electronics Engineering, National Institute of Technology Delhi, Delhi 110040, IndiaDepartment of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi ArabiaElectrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, EgyptThis paper presents an interesting hybrid solution to a challenging estimation and control problem of the Permanent Magnet Synchronous Motor (PMSM). Apart from the inherently nonlinear nature of the PMSM, which makes this problem particularly challenging, is the unavailability of the measurements, rotor position, and speed. In an effort to efficiently cope with such issues along with the random noise environment, the Unscented Kalman Filter (UKF) is chosen to estimate the states of the PMSM dynamic system and the Model Predictive Control (MPC) is utilized to control the state space vector in Pulse Width Modulation (PWM). Additionally, the MPC has also been implemented in combination with the Extended Kalman Filter (EKF) and also with Sliding Mode Control (SMC), in order to vigorously compare these hybrid approaches in terms of accuracy, robustness, and transient response. The MPC-UKF, a combination that has never been implemented before, outperforms the other two by efficiently dealing with the issues of high nonlinearities, by accurately estimating the states while the measurements were practically unavailable, and coping with the fast dynamics of the PMSM.https://www.mdpi.com/2076-3417/12/10/4958Kalman filterspermanent magnet motorspredictive controlpulse width modulationsensorless control |
spellingShingle | Kashif Shahzad Muhammad Jawad Khurram Ali Jahanzeb Akhtar Ikramullah Khosa Mohit Bajaj Ehab E. Elattar Salah Kamel A Hybrid Approach for an Efficient Estimation and Control of Permanent Magnet Synchronous Motor with Fast Dynamics and Practically Unavailable Measurements Applied Sciences Kalman filters permanent magnet motors predictive control pulse width modulation sensorless control |
title | A Hybrid Approach for an Efficient Estimation and Control of Permanent Magnet Synchronous Motor with Fast Dynamics and Practically Unavailable Measurements |
title_full | A Hybrid Approach for an Efficient Estimation and Control of Permanent Magnet Synchronous Motor with Fast Dynamics and Practically Unavailable Measurements |
title_fullStr | A Hybrid Approach for an Efficient Estimation and Control of Permanent Magnet Synchronous Motor with Fast Dynamics and Practically Unavailable Measurements |
title_full_unstemmed | A Hybrid Approach for an Efficient Estimation and Control of Permanent Magnet Synchronous Motor with Fast Dynamics and Practically Unavailable Measurements |
title_short | A Hybrid Approach for an Efficient Estimation and Control of Permanent Magnet Synchronous Motor with Fast Dynamics and Practically Unavailable Measurements |
title_sort | hybrid approach for an efficient estimation and control of permanent magnet synchronous motor with fast dynamics and practically unavailable measurements |
topic | Kalman filters permanent magnet motors predictive control pulse width modulation sensorless control |
url | https://www.mdpi.com/2076-3417/12/10/4958 |
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