Framework for sensitivity analysis of industry algorithms for sensorless PMSM drives

Benjamin Phillip Saunders, Greg Heins, Friso De Boer

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

    Abstract

    The Permanent Magnet Synchronous Machine (PMSM) is gaining popularity in many applications due to its high efficiency and high power density. In order to achieve efficient and robust motor operation, motor position information is required. If active compensation of motor torque ripples is to be achieved in addition to simply rotating the motor the quality of the position information becomes even more important. Traditionally this position information is acquired through the use of a position sensor, however so called `sensorless' control schemes are now becoming a popular alternative. This paper presents a review of the sensorless position estimation algorithms which are being adopted by industry. A framework is developed to assess the sensitivity of these algorithms to errors in motor parameters and non-ideal aspects of the motor and controller. This framework is based around a MATLAB®/Simulink® simulation which includes these non-ideal aspects. The simulated control loop is designed to be very close to the control loop implemented on a DSP and used to run a real motor. Results for a simple back-EMF estimator show that a 10-bit or better analog to digital converter (ADC) gives good performance, the position estimation error is almost insensitive to resistance variation and a 20% change in inductance results in a 0.7% offset error in the position estimate.
    Original languageEnglish
    Title of host publication21st Australasian Universities Power Engineering Conference
    EditorsGerard Ledwich
    Place of PublicationBrisbane, Australia
    PublisherAustralasian Universities Power Engineering Conference (AUPEC)
    Pages-
    Number of pages6
    ISBN (Print)978-1-4577-1793-2
    Publication statusPublished - 2011
    EventAustralasian Universities Power Engineering Conference (AUPEC 2011 21st) - Brisbane, Australia, Brisbane, Australia
    Duration: 25 Sep 201128 Sep 2011
    Conference number: 2011 (21st)

    Conference

    ConferenceAustralasian Universities Power Engineering Conference (AUPEC 2011 21st)
    Abbreviated titleAUPEC
    CountryAustralia
    CityBrisbane
    Period25/09/1128/09/11

    Fingerprint

    Permanent magnets
    Sensitivity analysis
    Industry
    Torque motors
    Digital to analog conversion
    Inductance
    Error analysis
    MATLAB
    Controllers
    Sensors
    Electric potential

    Cite this

    Saunders, B. P., Heins, G., & De Boer, F. (2011). Framework for sensitivity analysis of industry algorithms for sensorless PMSM drives. In G. Ledwich (Ed.), 21st Australasian Universities Power Engineering Conference (pp. -). Brisbane, Australia: Australasian Universities Power Engineering Conference (AUPEC).
    Saunders, Benjamin Phillip ; Heins, Greg ; De Boer, Friso. / Framework for sensitivity analysis of industry algorithms for sensorless PMSM drives. 21st Australasian Universities Power Engineering Conference. editor / Gerard Ledwich. Brisbane, Australia : Australasian Universities Power Engineering Conference (AUPEC), 2011. pp. -
    @inproceedings{107ff1e32b4a456a9e5d421b4c98d826,
    title = "Framework for sensitivity analysis of industry algorithms for sensorless PMSM drives",
    abstract = "The Permanent Magnet Synchronous Machine (PMSM) is gaining popularity in many applications due to its high efficiency and high power density. In order to achieve efficient and robust motor operation, motor position information is required. If active compensation of motor torque ripples is to be achieved in addition to simply rotating the motor the quality of the position information becomes even more important. Traditionally this position information is acquired through the use of a position sensor, however so called `sensorless' control schemes are now becoming a popular alternative. This paper presents a review of the sensorless position estimation algorithms which are being adopted by industry. A framework is developed to assess the sensitivity of these algorithms to errors in motor parameters and non-ideal aspects of the motor and controller. This framework is based around a MATLAB{\circledR}/Simulink{\circledR} simulation which includes these non-ideal aspects. The simulated control loop is designed to be very close to the control loop implemented on a DSP and used to run a real motor. Results for a simple back-EMF estimator show that a 10-bit or better analog to digital converter (ADC) gives good performance, the position estimation error is almost insensitive to resistance variation and a 20{\%} change in inductance results in a 0.7{\%} offset error in the position estimate.",
    keywords = "Back-emf, Permanent Magnet Synchronous Machine (PMSM), Position estimation, Sensor less control, Sliding mode observers, Algorithms, Analog to digital conversion, Estimation, MATLAB, Permanent magnets, Synchronous motors, Sensitivity analysis",
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    year = "2011",
    language = "English",
    isbn = "978-1-4577-1793-2",
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    Saunders, BP, Heins, G & De Boer, F 2011, Framework for sensitivity analysis of industry algorithms for sensorless PMSM drives. in G Ledwich (ed.), 21st Australasian Universities Power Engineering Conference. Australasian Universities Power Engineering Conference (AUPEC), Brisbane, Australia, pp. -, Australasian Universities Power Engineering Conference (AUPEC 2011 21st), Brisbane, Australia, 25/09/11.

    Framework for sensitivity analysis of industry algorithms for sensorless PMSM drives. / Saunders, Benjamin Phillip; Heins, Greg; De Boer, Friso.

    21st Australasian Universities Power Engineering Conference. ed. / Gerard Ledwich. Brisbane, Australia : Australasian Universities Power Engineering Conference (AUPEC), 2011. p. -.

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

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    N2 - The Permanent Magnet Synchronous Machine (PMSM) is gaining popularity in many applications due to its high efficiency and high power density. In order to achieve efficient and robust motor operation, motor position information is required. If active compensation of motor torque ripples is to be achieved in addition to simply rotating the motor the quality of the position information becomes even more important. Traditionally this position information is acquired through the use of a position sensor, however so called `sensorless' control schemes are now becoming a popular alternative. This paper presents a review of the sensorless position estimation algorithms which are being adopted by industry. A framework is developed to assess the sensitivity of these algorithms to errors in motor parameters and non-ideal aspects of the motor and controller. This framework is based around a MATLAB®/Simulink® simulation which includes these non-ideal aspects. The simulated control loop is designed to be very close to the control loop implemented on a DSP and used to run a real motor. Results for a simple back-EMF estimator show that a 10-bit or better analog to digital converter (ADC) gives good performance, the position estimation error is almost insensitive to resistance variation and a 20% change in inductance results in a 0.7% offset error in the position estimate.

    AB - The Permanent Magnet Synchronous Machine (PMSM) is gaining popularity in many applications due to its high efficiency and high power density. In order to achieve efficient and robust motor operation, motor position information is required. If active compensation of motor torque ripples is to be achieved in addition to simply rotating the motor the quality of the position information becomes even more important. Traditionally this position information is acquired through the use of a position sensor, however so called `sensorless' control schemes are now becoming a popular alternative. This paper presents a review of the sensorless position estimation algorithms which are being adopted by industry. A framework is developed to assess the sensitivity of these algorithms to errors in motor parameters and non-ideal aspects of the motor and controller. This framework is based around a MATLAB®/Simulink® simulation which includes these non-ideal aspects. The simulated control loop is designed to be very close to the control loop implemented on a DSP and used to run a real motor. Results for a simple back-EMF estimator show that a 10-bit or better analog to digital converter (ADC) gives good performance, the position estimation error is almost insensitive to resistance variation and a 20% change in inductance results in a 0.7% offset error in the position estimate.

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    Saunders BP, Heins G, De Boer F. Framework for sensitivity analysis of industry algorithms for sensorless PMSM drives. In Ledwich G, editor, 21st Australasian Universities Power Engineering Conference. Brisbane, Australia: Australasian Universities Power Engineering Conference (AUPEC). 2011. p. -