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Warianty tytułu
Sterowanie wektorowe trójfazową˛maszyną indukcyjną z wykorzystaniem logiki rozmytej
Języki publikacji
Abstrakty
This article proposes a Takagi-Sugeno Fuzzy (TSF) controller for vector control method applied in three-phase induction motor control. The conventional vector control method has two PI current controllers. With the aim to reduce the quantity of these controllers, it is proposed a unique fuzzy controller to substitute both PI controllers. The performance of the proposed TSF controller is analyzed through several test. The simulation and experimental results show that the proposed TSF controller ensures decoupling current control and low current ripple, validating the TSF controller.
W artykule zaproponowano metodę sterowania wektorowego trójfazowym silnikiem indukcyjnym z wykorzystaniem regulatora rozmytego Takagi-Sugeno zastępującego klasyczne regulatory PI. Przeprowadzono badania symulacyjne i eksperymentalne, weryfikujące skuteczność działania sterowania.
Wydawca
Czasopismo
Rocznik
Tom
Strony
111--116
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
autor
- Universidade Estadual de Campinas
autor
- Universidade Federal do ABC
autor
- Universidade Estadual de Campinas
Bibliografia
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- [2] T. Takagi and M. Sugeno. Fuzzy identification of systems and its applications to modeling and control. IEEE transactions on systems, man, and cybernetics, 14(no. 1):pp. 116–132, Jan/Feb 1985.
- [3] E.H. Mamdani. Application of fuzzy logic algorithms for control of simple dynamic plant. IEEE Proceedings of the Institution of Electrical Engineers, 121(no. 12):pp 1585–1588, 1974.
- [4] T. Yamakawa. Fuzzy controller hardware system. In Proceedings of 2nd IFSA Congress, pages pp. 827–830, 1987.
- [5] V. Chitra and R. S. Prabhakar. Induction motor speed control using fuzzy logic controller. In World Academy of Science, Engineering and Technology, 2006.
- [6] B. Heber, Longya Xu, and Y. Tang. Fuzzy logic enhanced speed control of an indirect field-oriented induction machine drive. Power Electronics, IEEE Transactions on, 12(5):772 – 778, sep 1997.
- [7] Lee Hakju, Lee Jaedo, and Seong Sejin. Approach to fuzzy control of an indirect field-oriented induction motor drives. In Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on, volume 2, pages 1119 –1123 vol.2, 2001.
- [8] B.M. Badr, A.M. Eltamaly, and A.I. Alolah. Fuzzy controller for three phases induction motor drives. In Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE, pages 1 –6, sept. 2010.
- [9] A. Mechernene, M. Zerikat, and S. Chekroun. Indirect field oriented adaptive control of induction motor based on neuro-fuzzy controller. In Control Automation (MED), 2010 18th Mediterranean Conference on, pages 1109 –1114, june 2010.
- [10] T.S. Radwan, M.N. Uddin, and M.A. Rahman. A new and simple structure of fuzzy logic based indirect field oriented control of induction motor drives. In Power Electronics Specialists Conference, 2004. PESC 04. 2004 IEEE 35th Annual, volume 5, pages 3290 – 3294 Vol.5, june 2004.
- [11] Moulay Rachid Douiri, Mohamed Cherkaoui, and Ahmed Essadki. Genetic algorithms based fuzzy speed controllers for indirect field oriented control of induction motor drive. INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING, 6(no. 1):pp. 21–28, 2012.
- [12] F. Ashrafzadeh, E.P. Nowicki, and J.C. Salmon. A selforganizing and self-tuning fuzzy logic controller for field oriented control of induction motor drives. In Industry Applications Conference, 1995. Thirtieth IAS Annual Meeting, IAS ’95., Conference Record of the 1995 IEEE, volume 2, pages 1656 –1662 vol.2, oct 1995.
- [13] E. Cerruto, A. Consoli, A. Raciti, and A. Testa. Fuzzy adaptive vector control of induction motor drives. Power Electronics, IEEE Transactions on, 12(6):1028 –1040, nov 1997.
- [14] T. Orlowska-Kowalska and M. Dybkowski. Performance analysis of the sensorless adaptive sliding-mode neuro-fuzzy control of the induction motor drive with mras-type speed estimator. BULLETIN OF THE POLISH ACADEMY OF SCIENCES, 60:pp. 1–10, 2012.
- [15] F. Profumo, G. Griva, and V. Donescu. Self tuning fuzzy logic current control for high performance induction motor drives. I Industrial Electronics Society, 1998. IECON ’98. Proceedings of the 24th Annual Conference of the IEEE, volume 3, pages 1871–1876 vol.3, aug-4 sep 1998.
- [16] Prade H. Dubois, D. and R. (Eds.) Yager. Fuzzy Sets for Intelligent Systems. Morgan Kaufmann Publishers; 1st edition (August 1993), 1993.
- [17] Peter Vas. Sensorless vector and Direct Torque Control. Oxford University Press, 1998.
- [18] N.P. Quang and J.A. Dittrich. Vector Control of Three-Phase AC Machines. Springer, 2008.
- [19] M. Bertoluzzo, G. Buja, and R. Menis. A direct torque control scheme for induction motor drives using the current model flux estimation. Diagnostics for Electric Machines, Power Electronics and Drives, 2007. SDEMPED 2007. IEEE International Symposium on, pages 185 –190, sept. 2007.
- [20] Jun Hu and Bin Wu. New integration algorithms for estimating motor flux over a wide speed range. Power Electronics, IEEE Transactions on, 13(5):969 –977, sep 1998.
- [21] Witold Pedrycz and Fernando Gomide. Fuzzy Systems Engineering Toward Human-Centric Computing. Wiley-IEEE Press, 2007.
- [22] M.M. Gupta and J. Qi. Theory of t-norms and fuzzy inference methods. Fuzzy Sets and Systems, 40(3):431 – 450, 1991.
- [23] D. Driankov, H. Hellendoorn, and M. Reinfrank. An Introduction to Fuzzy Control. Springer, 2nd. edition, 1996.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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