A new approach on optimising the speed sensorless of induction motor drives
The use of an Extended Kalman Filter (EKF) as an observer for a sensorless Induction Motor (IM) has been a longstanding issue. However, little attempt has been made to optimise the filter performance. This chapter proposes a Simulated Annealing algorithm to solve the tuning process of the EKF...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book Section |
| Language: | English |
| Published: |
Penerbit UTM
2008
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/16250/1/A_new_approach_on_optimising_the_speed_sensorless_of_induction_motor_drives.pdf http://eprints.utm.my/id/eprint/16250/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The use of an Extended Kalman Filter (EKF) as an observer for a sensorless Induction Motor (IM) has been a longstanding issue. However, little attempt has been made to optimise the filter performance. This chapter proposes a Simulated Annealing algorithm to solve the tuning process of the EKF covariance matrices. The optimisation technique of EKF using Simulated Annealing is illustrated through simulation implementation by constant V/F control of an IM. The chapter concentrates on finding the setting of the EKF parameter and the performance is compared when using trial and error. |
|---|