In order to have stable and high performance of direct torque and flux control (DTFC) of double star induction motor drive (DSIM), proper on-line adaptation of the stator resistance is very important. This is inevitably due to the variation of the stator resistance during operating conditions, which introduces error in estimated flux position and the magnitude of the stator flux. Error in the estimated stator flux deteriorates the performance of the DTFC drive. Also, the effect of error in estimation is very important especially at low speed. Due to this, our aim is to overcome the sensitivity of the DTFC to the stator resistance variation by proposing on-line fuzzy estimation stator resistance. The fuzzy estimation method is based on an on-line stator resistance correction through the variations of the stator current estimation error and its variations. The fuzzy logic controller gives the future stator resistance increment at the output. The main advantage of the suggested algorithm control is to avoid the drive instability that may occur in certain situations and ensure the tracking of the actual stator resistance. The validity of the technique and the improvement of the whole system performance are proved by the results.<\/p>\r\n","references":"[1]\tM. Mengoni, L. Zarri, A. Tani, G. Serra, D. Casadei, \u201cSensorless Multiphase Induction Motor bDrive Based on a Speed Observer Operating with Third-Order Field Harmonics,\u201d in Conf. IEEE, Annu. Meeting, pp. 68-74, 2011.\r\n[2]\tA. Nanoty, and A. R. Chudasama, \u201cControl of Designed Developed Six Phase Induction Motor,\u201d inInternational Journal of Electromagnetics and Applications 2(5), pp77-84,2012.\r\n[3]\tF. Ameur, and K. Kouzi \u201cGenetic Algorithm Optimized PI and Fuzzy Logic Speed Vector Control of Dual Stator Induction Generator in Wind Energy Conversion System\u201d, in Proc of the 3rd International Conference on Systems and Control, pp. 174-180, Algiers, Algeria, October 29-31, 2013.\r\n[4]\tM. Boussak, and K. Jarray, \u201cA High-Performance Sensorless Indirect Stator Flux Orientation Control of Induction Motor Drive,\u201d IEEE Trans. Industry Elect., vol.53, no. 1, Feb, 2006, pp. 41-49.\r\n[5]\tR. Toufouti S. Meziane, H. Benalla, \u201cDirect Torque Control for Induction Motor using Intelligent techniques,\u201d in Journal of Theoretical and Applied Information Technology, JATIT pp 35-44,2007.\r\n[6]\tA. Sudhakar*, M. Vijaya Kumar, \u201cA Comparative Analysis of PI and Neuro Fuzzy Controllers in Direct Torque Control of Induction Motor' Drives,\u201d International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 4, June-July 2012pp.672-680.\r\n[7]\tA. Abbou and H. Mahmoud, \u201cPerformance of a Sensorless Speed Control for Induction Motor Using DTFC strategy and Intelligent Techniques,\u201d International Journal Electrical Systems 3-5.6(2009), pp64-81.\r\n[8]\tR. Sadouni and Ab. Meroufel, \u201cPerformances comparative study of Field Oriented Control (FOC) and Direct Torque Control (DTC) of Dual Three Phase Induction Motor (DTPIM),\u201d International Journal of Circuits, Systems and Signal Processing, Issue 2, Volume 6, 2012 pp,163-170.\r\n[9]\tD. Ziane, A. Azib, N. Taib, and F. Rekioua,\u2019\u2019 Study and Design of the direct torque control of Double star induction motor in J. Electrical Systems (JES) 9-1 (2013), pp 114-124.\r\n[10]\tH. Huy, \u201cComparison of Field-Oriented Control and Direct Torque Control for Induction Motor Drives\u201d, IEEE 1999.\r\n[11]\tK. Kouzi, L. Mokrani, and M. S. Na\u00eft-Sa\u00efd, \u201cA Fuzzy Logic Controller With Fuzzy Adapted Gains Based on Indirect Vector Control for Induction Motor Drive,\u201d In: Journal of Electrical Engineering, Vol. 3, n\u00b0 2, 2003, ISSN 1582-4594,pp. 49-54.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 117, 2016"}