| Abstract |
This paper presents an application of the extended Kalman filter (EKF) to the simultaneous on-line
estimation of the dq rotor flux components and all the electrical parameters of a vector controlled
induction motor. A time-discrete reduced order model structure is deduced and presents a simple
and reduced state equation and a scalar output equation. This approach, combined with the use
of the rotor reference frame, offers advantages for real-time identification, compared with full order
models, because it reduces the computational cost. The proposed new approach requires the
measurement of motor speed, stator voltages and currents signals. Simulation and experimental studies
presented in this paper highlight the improvements produced by this new approach based on the
extended Kalman filter and a new discretization technique, under real operation conditions. |
