Mohd. Alsofyani, Ibrahim and Nik Idris, Nik Rumzi and Jannati, Mohammad and Anbaran, Sajad Abdollahzadeh and Alamri, Yahya Ahmed (2014) Using NSGA II multiobjective genetic algorithm for EKF-based estimation of speed and electrical torque in AC induction machines. In: 8th International Power Engineering and Optimization Conference, PEOCO 2014, 24-25 Mar, 2014, Langkawi, Malaysia.
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Official URL: http://dx.doi.org/10.1109/PEOCO.2014.6814461
Abstract
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 only a single objective for the optimal estimation of speed without giving concern to the torque. This paper presents a new methodology for the selection of EKF filters that uses non-dominated sorting genetic algorithm-II (NSGA-II) developed for filter element selection in order to investigate the concurrent optimization of speed and torque. The proposed optimizing technique for EKF-based estimation scheme is used in the combination with the sensorless direct torque control of induction motor. The multi-optimal based-EKF is tested with three regions of Pareto front curve.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | estimated toque, induction motor |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 63188 |
| Deposited By: | Siti Nor Hashidah Zakaria |
| Deposited On: | 15 Jun 2017 02:30 |
| Last Modified: | 11 Sep 2017 00:48 |
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