| Abstract |
The extended Kalman filter has been applied extensively for speed and flux estimation in induction
machines. The main drawback of this estimator is its complexity, and related to his, the high sample time
needed for its implementation in a DSP, so the expected performance is greatly reduced.
This paper presents a linear Kalman filter for rotor flux observation with adaptive speed estimation that
reduces the number of operations by a factor of 8.5 compared with the straightforward implementation of
the extended Kalman filter.
This estimator and an indirect vector control algorithm has been implemented in a single DSP, allowing a
sample time of only 50µs. The experimental results shows a great dynamic performance, low speed error
and a good response in low speed operation. |
