- Tytuł:
- Extended Kalman filter based speed-sensorless load torque and inertia estimations with observability analysis for induction motors
- Autorzy:
-
Zerdali, E.
Barut, M. - Powiązania:
- https://bibliotekanauki.pl/articles/1193483.pdf
- Data publikacji:
- 2018
- Wydawca:
- Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
- Tematy:
-
extended Kalman filter
induction motor
load torque estimation
inertia estimation
speed-sensorless control
observability analysis - Opis:
- 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.
- Źródło:
-
Power Electronics and Drives; 2018, 3, 38; 115-127
2451-0262
2543-4292 - Pojawia się w:
- Power Electronics and Drives
- Dostawca treści:
- Biblioteka Nauki
Artykuł