Journal
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
Volume 14, Issue 1, Pages 231-242Publisher
KOREAN INST ELECTR ENG
DOI: 10.1007/s42835-018-00019-3
Keywords
DTC; Extended Kalman filter; Instructions; Induction motor; Multi-objective optimization; NSGA II
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Funding
- Korea Institute of Energy Technology Evaluation and Planning (KETEP) - Ministry of Trade, Industry and Energy (MOTIE) [20172020108970]
- Korea Evaluation Institute of Industrial Technology (KEIT) [20172020108970] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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It is well known that the selection of extended Kalman filter (EKF) covariance elements has a considerable bearing on the effectiveness of EKF performance. The observability at very low frequency is also an essential property for the selection of EKF elements. This paper investigates the optimization of the EKF covariance elements when zero frequency is included in the training profile for direct torque control (DTC) of induction motor. In addition, the paper studies the optimization of EKF by speed and torque fitness functions using a non-dominated sorting genetic algorithm-II at zero and high speeds under stable flux regulation. For this purpose, DTC with constant switching frequency controller which has the capability of establishing continuous flux rotation regardless of speed variation is used. The optimized results of EKF for both DTC motor drives and speed and torque cost functions are verified experimentally.
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