Affiliation:
1. Mohammed 5 University, Mohammadia School of Engineering, Department of Electrical Engineering, Agdal Rabat, MOROCCO
Abstract
the sensor-less control is a major issue in control domain. The use of sensors has several downsides like high cost, fragility and low reliability. Furthermore, the physical environment sometimes, does not allow to use sensors. Due to the multiple variables and non-linearity of induction motor dynamics, the estimation of the rotor speed and flux without the measurement is still a very challenging subject. The main objective of this paper is to present a comparative study between two observer’s structures, a full order adaptive observer based on Lyapunov theory and inherently extended Kalman filter which did not take the speed as adaptive quantity. Both of them are linked to a vector controlled induction motor drive. The effectiveness and estimation accuracy is investigated in detail by simulation results.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Subject
Artificial Intelligence,General Mathematics,Control and Systems Engineering
Reference20 articles.
1. B. Wu and M. Narimani, High-power convertersand AC drives, John Wiley and Sons, vol. 59,2017.
2. M. Taoussi, M. Karim, B. Bossoufi, D. Ham-moumi, C. El Bakkali, A. Derouich and N. ElOuanjli, Low-Speed Sensorless Control for Wind Turbine System, WSEAS transactions on systems and control, pp. 405–417, 2017.
3. Y. Zahraoui, M. Akherraz and C. Fahassa, Induction motor DTC performance improvementby reducing torque ripples in low speed, UPBSci. Bull. Ser. C, vol. 81, no 3, pp. 249–260,2019.
4. Y. Zahraoui, M. Akherraz, C. Fahassa and S. El-badaoui, Induction motor harmonic reduction using space vector modulation algorithm, Bulletin of Electrical Engineering and Informatics,vol. 9, no 2, 2020.
5. R. Kumar, S. Das, P. Syam, and A. K. Chattopadhyay, Review on model reference adaptive system for sensorless vector control of induction motor drives, IET Electric Power Applications,vol. 9, pp. 496–511, July 2015.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献