Title :
Speed estimation for an induction motor using the extended Kalman filter
Author :
Velázquez, Salomón Chávez ; Palomares, Rubén Alejos ; Segura, Alfredo Nava
Author_Institution :
Univ. of the Americas, Puebla, Mexico
Abstract :
The article describes a discretized extended Kalman filter for speed estimation of a squirrel-cage induction motor. The filter is an observer for linear and non-linear systems and is based on stochastic intromission, in others words, noise. There is a mathematical basis that yields excellent simulation and real-time results. It shows that the filter is an excellent estimator for measurements and non-measurement states because, in addition to speed estimation, we can estimate other variables, like magnetic flux. There are simulation results with direct torque control where the speed accuracy is one of the most important characteristics of filtering. The tune-up is one milestone to obtaining the estimation, and several rules are proposed. Finally, the paper suggests online estimation to ensure that the motor is fully represented.
Keywords :
Kalman filters; angular velocity; nonlinear systems; observers; parameter estimation; random noise; squirrel cage motors; stochastic processes; torque control; direct torque control; discretized extended Kalman filter; linear system observer; mathematical basis; noise; nonlinear system observer; speed estimation; squirrel-cage induction motor; stochastic intromission; Induction motors; Magnetic flux; Magnetic noise; Magnetic separation; Nonlinear filters; Observers; State estimation; Stochastic resonance; Stochastic systems; Velocity measurement;
Conference_Titel :
Electronics, Communications and Computers, 2004. CONIELECOMP 2004. 14th International Conference on
Print_ISBN :
0-7695-2074-X
DOI :
10.1109/ICECC.2004.1269550