Cascaded observers for the rotor position, speed and load torque of the PMSM using an extended dynamic model

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper presents a method for the estimation of the EMFs, speed, rotor position and load torque of the permanent magnet synchronous motor (PMSM) which are typically needed in sensorless control. The estimation approach uses an extended dynamic model of the motor and is done with cascaded observers; one of them employs an adaptive law. A first observer estimates the EMFs of the motor -they are fed in the tan-1 function to compute the angle of rotor position. The EMFs and the rotor position are fed into a second observer - this estimates the speed of the PMSM as well as the load torque. The load torque is obtained based on an adaptive law. In the paper, the mathematics of the observers and subsequent simulations are shown.

Original languageEnglish (US)
Title of host publication2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728114132
DOIs
StatePublished - Jun 1 2019
Event16th International Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Varna, Bulgaria
Duration: Jun 6 2019Jun 8 2019

Publication series

Name2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings

Conference

Conference16th International Conference on Electrical Machines, Drives and Power Systems, ELMA 2019
CountryBulgaria
CityVarna
Period6/6/196/8/19

Fingerprint

Synchronous motors
Permanent magnets
Dynamic models
Loads (forces)
Torque
Rotors
Electric potential

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Comanescu, M. (2019). Cascaded observers for the rotor position, speed and load torque of the PMSM using an extended dynamic model. In 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings [8771650] (2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELMA.2019.8771650
Comanescu, Mihai. / Cascaded observers for the rotor position, speed and load torque of the PMSM using an extended dynamic model. 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings).
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abstract = "The paper presents a method for the estimation of the EMFs, speed, rotor position and load torque of the permanent magnet synchronous motor (PMSM) which are typically needed in sensorless control. The estimation approach uses an extended dynamic model of the motor and is done with cascaded observers; one of them employs an adaptive law. A first observer estimates the EMFs of the motor -they are fed in the tan-1 function to compute the angle of rotor position. The EMFs and the rotor position are fed into a second observer - this estimates the speed of the PMSM as well as the load torque. The load torque is obtained based on an adaptive law. In the paper, the mathematics of the observers and subsequent simulations are shown.",
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Comanescu, M 2019, Cascaded observers for the rotor position, speed and load torque of the PMSM using an extended dynamic model. in 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings., 8771650, 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 16th International Conference on Electrical Machines, Drives and Power Systems, ELMA 2019, Varna, Bulgaria, 6/6/19. https://doi.org/10.1109/ELMA.2019.8771650

Cascaded observers for the rotor position, speed and load torque of the PMSM using an extended dynamic model. / Comanescu, Mihai.

2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8771650 (2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - The paper presents a method for the estimation of the EMFs, speed, rotor position and load torque of the permanent magnet synchronous motor (PMSM) which are typically needed in sensorless control. The estimation approach uses an extended dynamic model of the motor and is done with cascaded observers; one of them employs an adaptive law. A first observer estimates the EMFs of the motor -they are fed in the tan-1 function to compute the angle of rotor position. The EMFs and the rotor position are fed into a second observer - this estimates the speed of the PMSM as well as the load torque. The load torque is obtained based on an adaptive law. In the paper, the mathematics of the observers and subsequent simulations are shown.

AB - The paper presents a method for the estimation of the EMFs, speed, rotor position and load torque of the permanent magnet synchronous motor (PMSM) which are typically needed in sensorless control. The estimation approach uses an extended dynamic model of the motor and is done with cascaded observers; one of them employs an adaptive law. A first observer estimates the EMFs of the motor -they are fed in the tan-1 function to compute the angle of rotor position. The EMFs and the rotor position are fed into a second observer - this estimates the speed of the PMSM as well as the load torque. The load torque is obtained based on an adaptive law. In the paper, the mathematics of the observers and subsequent simulations are shown.

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Comanescu M. Cascaded observers for the rotor position, speed and load torque of the PMSM using an extended dynamic model. In 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8771650. (2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings). https://doi.org/10.1109/ELMA.2019.8771650