A new approach on optimising the speed sensorless of induction motor drives

• Main Authors: Buyamin, Salinda, Finch, John
• Format: Book Section
• Language: English
• Published: Penerbit UTM 2008
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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/

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.