Using NSGA II multiobjective genetic algorithm for EKF-based estimation of speed and electrical torque in AC induction machines

High-performance AC drives require accurate speed and torque estimations to provide a proper system operation. The selection and quality of extended Kaiman fitter (EKF) covariance elements have a considerable bearing on the effectiveness of motor drive. Many EKF-based optimization techniques involve...

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主要な著者: Mohd. Alsofyani, Ibrahim, Nik Idris, Nik Rumzi, Jannati, Mohammad, Anbaran, Sajad Abdollahzadeh, Alamri, Yahya Ahmed
フォーマット: Conference or Workshop Item
出版事項: 2014
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オンライン・アクセス:http://eprints.utm.my/id/eprint/63188/
http://dx.doi.org/10.1109/PEOCO.2014.6814461
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