Sensorless control of DC and induction motors using Kalman Filtering
The paper studies sensorless control and rotor speed or acceleration estimation, for DC (direct current) and induction motors, using Kalman Filtering techniques
Year of Publication2009
The paper studies sensorless control and rotor speed or acceleration estimation, for DC (direct current) and induction motors, using Kalman Filtering techniques. First the case of a DC motor is considered and Kalman Filter-based control is implemented. Next the nonlinear model of a field-oriented induction motor is examined and the motor's angular velocity is estimated by an Extended Kalman Filter which processes measurements of the rotor's angle. Sensorless control of the induction motor is again implemented through feedback of the estimated state vector. Finally, a state estimation-based control loop is implemented using the Unscented Kalman Filter. The efficiency of the Kalman Filter-based control schemes, for both the DC and the induction motor models, is evaluated through simulation experiments.
This item is categorised as follows
Additional keywords/tagssensorless controlunscented kalman filterkalman filterinduction motorsextended kalman filterdc motors
Supporting the development of the national rural economy.Website
This is a brief summary of an item in the OpenFields Library. This free online library contains items of interest to practitioners and researchers in the agricultural and landbased industries.