Ben Hamed Mouna
Research Unity of Modeling, Analyze and Control Systems,
National Engineering School of Gabes (Enig), Tunisia
Sbita Lassaad
Research Unity of Modeling, Analyze and Control Systems,
National Engineering School of Gabes (Enig), Tunisia
ABSTRACT
This study deals with the performance analysis and implementation of a robust sensorless speed controller. The robustness is guaranteed by the use of the Internal Model Controller (IMC). An intelligent algorithm is evolved to eliminate the mechanical speed. It is based on the Artificial Neural Network (ANN) principle. Verification of the proposed robust sensorless controller is provided by experimental realistic tests on a scalar controlled induction motor drive. Sensorless robust speed control at low speeds and in field weakening region (high speeds) is studied in order to show the robustness of the speed controller under a wide range of load.
PDF References Citation
How to cite this article
Ben Hamed Mouna and Sbita Lassaad, 2007. Internal Model Controller of an ANN Speed Sensorless Controlled Induction Motor Drives. Journal of Applied Sciences, 7: 1456-1466.
DOI: 10.3923/jas.2007.1456.1466
URL: https://scialert.net/abstract/?doi=jas.2007.1456.1466
DOI: 10.3923/jas.2007.1456.1466
URL: https://scialert.net/abstract/?doi=jas.2007.1456.1466
REFERENCES
- Ben Salem, Y. and L. Sbita, 2006. A nonlinear state feedback control for induction motors. Proceedings of the International Conference on Industrial Technology, December 15-17, 2006, Monbey, India, pp: 2067-2072.
CrossRefDirect Link - Mouna, B.H. and S. Lassaad, 2006. Speed sensorless indirect stator field oriented control of induction motor based on luenberger observer. Proceeding of the International Symposium on Industrial Electronics, July 9-13, 2006, Montreal, Que, pp: 2473-2478.
CrossRefDirect Link - Mastorocostas, C., I. Kioskeridis and N. Margaris, 2006. Thermal and slip effects on rotor time constant in vector controlled induction motor drives. IEEE Trans. Power Electron., 21: 495-504.
CrossRefDirect Link - Denai, M.A. and S.A. Attia, 2002. Fuzzy and neural control of an induction motor. Int. J. Applied Math. Comput. Sci., 12: 221-233.
Direct Link - Fonseca, J., J.L. Afonso, J.S. Martins and C. Couto, 1999. Fuzzy logic speed control of an induction motor. Microprocessors Microsyst., 22: 523-534.
CrossRefDirect Link - Heredia, J.R., F. Perez Hidalgo and J.L. Duran Paz, 2001. Sensorless control of induction motors by artificial neural network. IEEE Trans. Industrial Electron., 48: 1038-1040.
CrossRefDirect Link - Kim, S.H., T.S. Park, J.Y. Yoo and G.T. Park, 2001. Speed sensorless vector control of an induction motor using neural network speed estimation. IEEE Trans. Industrial Electron., 48: 609-614.
CrossRefDirect Link - Koubaa, Y., 2004. Recursive identification of induction motor parameters. Simulation Modell. Pract. Theory, 12: 363-381.
Direct Link - Lai, C.K. and K.K. Shyu, 2005. A novel motor drive design for incremental motion system via sliding-mode control method. IEEE Trans. Ind. Electron., 52: 499-507.
CrossRefDirect Link - Metwally, H.M.B., F.E. Abdel-Kader, H.M. El-Shewy and M.M. El-Kholy, 2002. Proposed torque optimized behaviour for digital speed control of induction motors. Energy Convers. Manage., 43: 1675-1688.
Direct Link - Shao, X., J. Zhang, Z. Zhao and X. Wen, 2005. Adaptative internal model control of permanent synchronous motor drive system. Proceedings of the 8th International Conference of Electrical Machines and Systems, September 29, 2005, Nanjing, pp: 1843-1846.
CrossRefDirect Link - Zidani, F., M.S. Nait Said, R. Abdessemed, D. Diallo and M.E.H. Benbouzid, 2002. A fuzzy technique for loss minimization in scalar-controlled induction motor. Proc. Conf. Electric Power Components Syst., 30: 625-635.
CrossRefDirect Link - Kubota, H., K. Matsuse and T. Nakano, 1993. DSP-based speed adaptive flux observer of induction motor. IEEE Trans. Ind. Appl., 29: 344-348.
CrossRefDirect Link