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: Buyamin, Salinda, Finch, John
Format: Book Section
Language:English
Published: Penerbit UTM 2008
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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/
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.162502011-10-21T09:36:56Z http://eprints.utm.my/id/eprint/16250/ A new approach on optimising the speed sensorless of induction motor drives Buyamin, Salinda Finch, John TK Electrical engineering. Electronics Nuclear engineering 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. Penerbit UTM 2008 Book Section PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/16250/1/A_new_approach_on_optimising_the_speed_sensorless_of_induction_motor_drives.pdf Buyamin, Salinda and Finch, John (2008) A new approach on optimising the speed sensorless of induction motor drives. In: Progress in Computation Intelligence in vitro and in silico. Penerbit UTM , Johor, pp. 132-156. ISBN 978-983-52-0651-1
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Buyamin, Salinda
Finch, John
A new approach on optimising the speed sensorless of induction motor drives
description 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.
format Book Section
author Buyamin, Salinda
Finch, John
author_facet Buyamin, Salinda
Finch, John
author_sort Buyamin, Salinda
title A new approach on optimising the speed sensorless of induction motor drives
title_short A new approach on optimising the speed sensorless of induction motor drives
title_full A new approach on optimising the speed sensorless of induction motor drives
title_fullStr A new approach on optimising the speed sensorless of induction motor drives
title_full_unstemmed A new approach on optimising the speed sensorless of induction motor drives
title_sort new approach on optimising the speed sensorless of induction motor drives
publisher Penerbit UTM
publishDate 2008
url 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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