This paper investigates the simulation of a sensorless speed control method with estimates the position and the speed of a synchronous reluctance machine (SyncRM). Speed control implements Field Oriented Control (FOC)., fed with estimated speed and position. The method combines two different estimators. First., a Luenberger observer estimates the load torque of the machine from the mechanical model of the machine., knowing the value of the inertia coefficient and the dynamic friction coefficient. Then, a Kalman filter estimates the speed and the position of the machine., from differential state equations resulting from the analytical (electrical) model of the machine in the rotational reference frame, taking benefit of the estimated load torque. The robustness of the method was verified by Matlab/Simulink simulation for different speed and torque profiles., against parameter errors of the electrical (inductance and resistance) and mechanical (inertia and dynamic friction) models of a 5kW machine


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Robustness Evaluation of a Sensorless Control of Synchronous Reluctance Motor with a Kalman Filter & a Luenberger Observer


    Contributors:


    Publication date :

    2018-12-01


    Size :

    577228 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Sensorless control of synchronous reluctance motors

    Dianguo, Xu / Xinhai, Jin / Wei, Chen | IEEE | 2017



    Sensorless Control for IPM Synchronous Motor Using Disturbance Observer

    Wang, Yikun / Guo, Xizheng / Cao, Donghui | TIBKAT | 2020


    Sensorless Control for IPM Synchronous Motor Using Disturbance Observer

    Wang, Yikun / Guo, Xizheng / Cao, Donghui | Springer Verlag | 2020