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Performance Measure of Shunt Active Power Filter Applied with Intelligent Control Technique

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Języki publikacji
EN
Abstrakty
EN
This paper describes a shunt active power filter for compensating harmonic currents and reactive power. The shunt active power filter (SAPF) was implemented with a phase pulse modulated current control voltage source inverter. The proposed system is based on PLL synchronization with reduced fuzzy logic controller (RD-FLC). These control techniques for SAPF prove that source current is sinusoidal even when load is nonlinear. The CC-VSI inverter switching is done according to gating pulse obtained from the hysteresis controller using RD-FLC controller. The proposed system is investigated using simulation results. The effectiveness of the controller is observedin the form of total harmonic distortion, reactive power compensation and settling time of dc link voltage under non linearload condition. This technology reduced the rules of fuzzy logic controller from 49 to 37.
Rocznik
Strony
272--278
Opis fizyczny
Bibliogr. 14 poz., rys., tab., wykr.
Twórcy
  • Department of Electrical Engineering, Rajasthan Technical University, Kota, INDIA- 32401
  • Department of Electrical Engineering, Rajasthan Technical University, Kota, INDIA- 32401
  • Department of Electrical Engineering, Rajasthan Technical University, Kota, INDIA- 32401
Bibliografia
  • 1. Grady, W. M., Samotyj, M. J., and Noyola, A. H.(1990) Survey of active power line conditioning methodologies. IEEE Transactions on Power Delivery, 5 (3), 1536-1542.
  • 2. Singh, B. N., Singh, B., Chandra, A., Rastgoufard, P., and Al-Haddad, K. (2007) An Improved Control Algorithm for Active Filters. IEEE Transactions on Power Delivery, 22 (2), 1009-1020.
  • 3. Tao, C.-W., Mamlook, R., and Thompson, W. E. (1993) Reduction of complexity for a robust fuzzy controller. [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.
  • 4. Li, H.-X., and Gatland, H. B. (1995) A new methodology for designing a fuzzy logic controller. IEEE Transactions on Systems Man, and Cybernetics, 25 (3), 505-512.
  • 5. Sugeno, M., and Yasukawa, T. (1993) A fuzzy-logic-based approach to qualitative modeling. IEEE Transactions on Fuzzy Systems, 1 (1), 7.
  • 6. Lee, C. C. (1990) Fuzzy logic in control systems: fuzzy logic controller. I. IEEE Transactions on Systems Man, and Cybernetics, 20 (2), 404-418.
  • 7. Lee, C. C. (1990) Fuzzy logic in control systems: fuzzy logic controller. II. IEEE Transactions on Systems Man, and Cybernetics, 20 (2), 419-435.
  • 8. Wang, L.-X., and Mendel, J. M. (1992) Fuzzy basis functions universal approximation, and orthogonal least-squares learning. IEEE Transactions on Neural Networks, 3 (5), 807-814.
  • 9. Castro, J. L., and Delgado, M. (1996) Fuzzy systems with defuzzification are universal approximators. IEEE Transactions on Systems Man and Cybernetics, PartB (Cybernetics), 26 (1), 149-152.
  • 10. Rutherford, D. A., and Bloore, G. C. (1976) The implementation of fuzzy algorithms for control. Proceedings of the IEEE, 64 (4), 572-573.
  • 11. Ciliz, M. K. (2005) Rule base reduction for knowledge-based fuzzy controllers with application to a vacuum cleaner. Expert Systems with Applications, 28 (1), 175-184.
  • 12. Jain, S. K., Agarwal, P., and Gupta, H. O. (2003) Simulation and Experimental Investigations on a Shunt Active Power Filter for Harmonics and Reactive Power Compensation. IETE Technical Review, 20 (6), 481-492.
  • 13. Simon, D. (2000) Design and rule base reduction of a fuzzy filter for the estimation of motor currents. International Journal of Approximate Reasoning, 25 (2), 145-167.
  • 14. Simon, D., and El-Sherief, H. (1995) Fuzzy logic for digital phase-locked loop filter design. IEEE Transactions on Fuzzy Systems, 3 (2), 211-218.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-500ba2cd-d571-47f0-a3e0-9ca6e003d14b
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