Extended Kalman filter based speed-sensorless load torque and inertia estimations with observability analysis for induction motors

• Autorzy: Zerdali E. , Barut M.

Identyfikatory

DOI

10.2478/pead-2018-0002

• Języki publikacji: EN

Abstrakty

EN

This paper aims to introduce a novel extended Kalman filter (EKF) based estimator including observability analysis to the literature associated with the high performance speed-sensorless control of induction motors (IMs). The proposed estimator simultaneously performs the estimations of stator stationary axis components of stator currents and rotor fluxes, rotor mechanical speed, load torque including the viscous friction term, and reciprocal of total inertia by using measured stator phase currents and voltages. The inertia estimation is done since it varies with the load coupled to the shaft and affects the performance of speed estimation especially when the rotor speed changes. In this context, the estimations of all mechanical state and parameters besides flux estimation required for high performance control methods are performed together. The performance of the proposed estimator is tested by simulation and real-time experiments under challenging variations in load torque and velocity references; and in both transient and steady states, the quite satisfactory estimation performance is achieved.

Słowa kluczowe

EN

extended Kalman filter; induction motor; load torque estimation; inertia estimation; speed-sensorless control; observability analysis

• Wydawca: De Gruyter
• Czasopismo: Power Electronics and Drives
• Rocznik: 2018
• Tom: Vol. 3 (38), No. 1
• Strony: 115--127
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Zerdali E.

• Niğde Ömer Halisdemir University, Faculty of Engineering, Electrical & Electronics Engineering Department Niğde, Turkey

autor

Barut M.

• Niğde Ömer Halisdemir University, Faculty of Engineering, Electrical & Electronics Engineering Department Niğde, Turkey

Bibliografia

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• Zerdali, E. and Barut, M. (2016). Novel Version of Bi Input-Extended Kalman Filter for Speed-Sensorless Control of Induction Motors with Estimations of Rotor and Stator Resistances, Load Torque, and Inertia. Turkish Journal of Electrical Engineering & Computer Sciences, 24(5), pp. 4525-4544.
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