Optimal torque generation of a permanent magnet synchronous machine (PMSM) is guaranteed through stator flux orientation with respect to the rotor flux using field-oriented control (FOC). In applications relying on a position sensor for proper FOC, the relative alignment between rotor zero position and sensor zero position needs to be calibrated (known as PSOE-Position Sensor Offset Error). However, fault conditions may subject the calibrated relative position sensor alignment to vary (either in a static or dynamic nature), leading to unexpected torque characteristics. PSOE quantification in general being reliant on motor parameters, and the variation of these motor parameters during operation is yet to be studied. This paper focuses on evaluating the influence of motor parameter variation on the quantified static PSOE in feedforward-FOC-controlled PMSMs. The research presented here further explores which parameters have more severe effect on quantified PSOE (in Feedforward FOC drives), along with strategies to eliminate the effect of parameter error during fault diagnosis.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Influence of Machine Parameter Variation on Quantified PSOE in Feedforward Controlled PMSM


    Contributors:


    Publication date :

    2024-06-19


    Size :

    5370269 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Feedforward FLC for PMSM Drives [20014544]

    Edwar, I. / Wahsh, S. / Badr, M. | British Library Conference Proceedings | 2001


    A Novel MTPA-Flux Weakening Feedforward Control Strategy of PMSM Based on On-line Model Parameter Update

    Wang, Chao / Zhu, Jingyu / Liu, Kun et al. | SAE Technical Papers | 2022


    A Novel MTPA-Flux Weakening Feedforward Control Strategy of PMSM Based on On-line Model Parameter Update

    Zhu, Jingyu / Zhang, Yao / Liu, Kun et al. | British Library Conference Proceedings | 2022


    Pole Placement Self-tuning Feedforward Control of PMSM with Neural-network-based Observer

    Li, H.-r. / Wang, J.-h. / Wang, J. et al. | British Library Online Contents | 2001


    PMSM Parameter Estimation Using Singular Value Decomposition

    McLaughlin, Kevin / Qaiser, Arslan | British Library Conference Proceedings | 2018