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

• 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
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...