PMSM parameter determination using pulsating torque decoupling for feed-forward control

Greg Heins, Friso De Boer

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

    Abstract

    Many methods have been published for minimizing pulsating torque using programmed reference current waveforms (PRCW), however there are still several problems with their implementation. One major problem is the need to determine motor and controller parameters very accurately. The task of parameter determination is a considerable challenge as any measurement usually involves a number of conversions or scaling factors. Previous implementations of PRCW methods have either used data-sheet values for this scaling or separate calibrations of each individual scaling factor. The limited success of these implementations suggests that a more accurate method is required for parameter estimation. This paper presents an approach to parameter determination using pulsating torque decoupling (PTD), where the motor parameters are determined from the pulsating torque itself from an initial test. To validate this method, it has been implemented on a test motor. Using traditional methods of motor parameter determination, the pulsating torque was approximately 4%. Using the proposed PTD method, the pulsating torque was reduced to approximately 1%. �2009 IEEE.
    Original languageEnglish
    Title of host publicationSeventh IEEE International Conference on Control and Automation
    Place of Publicationunknown
    PublisherOmniPress
    Pages-
    Number of pages7
    ISBN (Print)978-1-4244-4707-7
    Publication statusPublished - 2009
    EventIEEE International Conference on Control and Automation (ICCA) 2009 7th - Christchurch, New Zealand
    Duration: 9 Dec 200911 Dec 2009

    Conference

    ConferenceIEEE International Conference on Control and Automation (ICCA) 2009 7th
    Period9/12/0911/12/09

    Fingerprint

    Feedforward control
    Torque
    Parameter estimation
    Calibration
    Controllers

    Cite this

    Heins, G., & De Boer, F. (2009). PMSM parameter determination using pulsating torque decoupling for feed-forward control. In Seventh IEEE International Conference on Control and Automation (pp. -). unknown: OmniPress.
    Heins, Greg ; De Boer, Friso. / PMSM parameter determination using pulsating torque decoupling for feed-forward control. Seventh IEEE International Conference on Control and Automation. unknown : OmniPress, 2009. pp. -
    @inproceedings{96c5db4458c8414b88964d99f0987176,
    title = "PMSM parameter determination using pulsating torque decoupling for feed-forward control",
    abstract = "Many methods have been published for minimizing pulsating torque using programmed reference current waveforms (PRCW), however there are still several problems with their implementation. One major problem is the need to determine motor and controller parameters very accurately. The task of parameter determination is a considerable challenge as any measurement usually involves a number of conversions or scaling factors. Previous implementations of PRCW methods have either used data-sheet values for this scaling or separate calibrations of each individual scaling factor. The limited success of these implementations suggests that a more accurate method is required for parameter estimation. This paper presents an approach to parameter determination using pulsating torque decoupling (PTD), where the motor parameters are determined from the pulsating torque itself from an initial test. To validate this method, it has been implemented on a test motor. Using traditional methods of motor parameter determination, the pulsating torque was approximately 4{\%}. Using the proposed PTD method, the pulsating torque was reduced to approximately 1{\%}. �2009 IEEE.",
    keywords = "Controller parameter, Data-sheet values, Motor parameters, Parameter determination, Pulsating torque, Reference currents, Scaling factors, Intelligent control, Parameter estimation, Torque",
    author = "Greg Heins and {De Boer}, Friso",
    year = "2009",
    language = "English",
    isbn = "978-1-4244-4707-7",
    pages = "--",
    booktitle = "Seventh IEEE International Conference on Control and Automation",
    publisher = "OmniPress",

    }

    Heins, G & De Boer, F 2009, PMSM parameter determination using pulsating torque decoupling for feed-forward control. in Seventh IEEE International Conference on Control and Automation. OmniPress, unknown, pp. -, IEEE International Conference on Control and Automation (ICCA) 2009 7th, 9/12/09.

    PMSM parameter determination using pulsating torque decoupling for feed-forward control. / Heins, Greg; De Boer, Friso.

    Seventh IEEE International Conference on Control and Automation. unknown : OmniPress, 2009. p. -.

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

    TY - GEN

    T1 - PMSM parameter determination using pulsating torque decoupling for feed-forward control

    AU - Heins, Greg

    AU - De Boer, Friso

    PY - 2009

    Y1 - 2009

    N2 - Many methods have been published for minimizing pulsating torque using programmed reference current waveforms (PRCW), however there are still several problems with their implementation. One major problem is the need to determine motor and controller parameters very accurately. The task of parameter determination is a considerable challenge as any measurement usually involves a number of conversions or scaling factors. Previous implementations of PRCW methods have either used data-sheet values for this scaling or separate calibrations of each individual scaling factor. The limited success of these implementations suggests that a more accurate method is required for parameter estimation. This paper presents an approach to parameter determination using pulsating torque decoupling (PTD), where the motor parameters are determined from the pulsating torque itself from an initial test. To validate this method, it has been implemented on a test motor. Using traditional methods of motor parameter determination, the pulsating torque was approximately 4%. Using the proposed PTD method, the pulsating torque was reduced to approximately 1%. �2009 IEEE.

    AB - Many methods have been published for minimizing pulsating torque using programmed reference current waveforms (PRCW), however there are still several problems with their implementation. One major problem is the need to determine motor and controller parameters very accurately. The task of parameter determination is a considerable challenge as any measurement usually involves a number of conversions or scaling factors. Previous implementations of PRCW methods have either used data-sheet values for this scaling or separate calibrations of each individual scaling factor. The limited success of these implementations suggests that a more accurate method is required for parameter estimation. This paper presents an approach to parameter determination using pulsating torque decoupling (PTD), where the motor parameters are determined from the pulsating torque itself from an initial test. To validate this method, it has been implemented on a test motor. Using traditional methods of motor parameter determination, the pulsating torque was approximately 4%. Using the proposed PTD method, the pulsating torque was reduced to approximately 1%. �2009 IEEE.

    KW - Controller parameter

    KW - Data-sheet values

    KW - Motor parameters

    KW - Parameter determination

    KW - Pulsating torque

    KW - Reference currents

    KW - Scaling factors

    KW - Intelligent control

    KW - Parameter estimation

    KW - Torque

    M3 - Conference Paper published in Proceedings

    SN - 978-1-4244-4707-7

    SP - -

    BT - Seventh IEEE International Conference on Control and Automation

    PB - OmniPress

    CY - unknown

    ER -

    Heins G, De Boer F. PMSM parameter determination using pulsating torque decoupling for feed-forward control. In Seventh IEEE International Conference on Control and Automation. unknown: OmniPress. 2009. p. -