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...
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| Main Authors: | , |
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| 格式: | Book Section |
| 語言: | English |
| 出版: |
Penerbit UTM
2008
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| 主題: | |
| 在線閱讀: | 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/ |
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| 機構: | Universiti Teknologi Malaysia |
| 語言: | English |
| 總結: | 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. |
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