Hardware implementation of a mamdani fuzzy logic controller for a static compensator in a multimachine power system

IEEE Transactions on Industry Applications

Volumn 45, Issue 4, 2009, Pages 1535-1544

  Mohagheghi, Salman ^a,b   Venayagamoorthy, Ganesh K ^c   Rajagopalan, Satish ^d   Harley, Ronald G ^e  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b ABB INC   (United States)

^c University of Missouri Rolla   (United States)

^d ELECTRIC POWER RESEARCH INSTITUTE   (United States)

^e GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Digital signal processor (DSP) implementation; Mamdani fuzzy logic controller; Matrix pencil analysis; Multimachine power system; Real time digital simulator (RTDS); Static compensator (STATCOM)

Indexed keywords

MAMDANI FUZZY LOGIC CONTROLLER; MATRIX PENCIL ANALYSIS; MULTIMACHINE POWER SYSTEM; REAL-TIME DIGITAL SIMULATOR (RTDS); STATIC COMPENSATOR (STATCOM);

DAMPING; DIGITAL SIGNAL PROCESSORS; ELECTRIC POWER TRANSMISSION NETWORKS; FUZZY CONTROL; FUZZY LOGIC; FUZZY SETS; HARDWARE; MATHEMATICAL MODELS; POWER TRANSMISSION; RESONANT TUNNELING; SIGNAL PROCESSING; SIMULATORS; SPEED CONTROL; TWO TERM CONTROL SYSTEMS;

CONTROLLERS;

EID: 68249145938     PISSN: 00939994     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIA.2009.2023484     Document Type: Article

References (36)

1. N. G. Hingorani and L. Gyugyi, Understanding FACTS, Concepts and Technology of Flexible AC Transmission Systems. New York: IEEE Press, 1999.
2. L. Dong, M. L. Crow, Z. Yang, C. Shen, L. Zhang, and S. Atcitty, "A reconfigurable FACTS system for university laboratories," IEEE Trans. Power Syst., vol. 19, no. 1, pp. 120-128, Feb. 2004.
3. D. Shen and P. W. Lehn, "Modeling, analysis and control of a current source inverter-based STATCOM," IEEE Trans. Power Del., vol. 17, no. 1, pp. 248-253, Jan. 2002.
4. C. Schauder and H. Mehta, "Vector analysis and control of advanced static VAR compensator," Proc. Inst. Elect. Eng., vol. 140, no. 4, pt. C, pp. 299-306, Jul. 1993.
5. F. Liu, S. Mei, Q. Lu, Y. Ni, F. F. Wu, and A. Yokoyama, "The nonlinear internal control of STATCOM: Theory and application," Int. J. Elect. Power Energy Syst., vol. 25, no. 6, pp. 421-430, Jul. 2003.
6. Q. Lu, F. Liu, S. Mei, and M. Goto, "Nonlinear disturbance attenuation control for STATCOM," in Proc. IEEE PES Winter Meeting, Jan./Feb. 2001, vol. 3, pp. 1323-1328.
7. Z. Yao, P. Kesimpar, V. Donescu, N. Lechevin, and V. Rajagopalan, "Nonlinear control for STATCOM based on differential algebra," in Proc. IEEE PESC, May 1998, vol. 1, pp. 239-334.
8. M. A. Abido and Y. L. Abdel-Magid, "A hybrid neuro-fuzzy power system stabilizer for multimachine power systems," IEEE Trans. Power Syst. vol. 13, no. 4, pp. 1323-1330, Nov. 1998.
9. R. You, H. J. Eghbali, and M. H. Nehrir, "An online adaptive neuro-fuzzy power system stabilizer for multimachine systems," IEEE Trans. Power Syst., vol. 18, no. 1, pp. 128-135, Feb. 2003.
10. A. Hariri and O. P. Malik, "A fuzzy logic based power system stabilizer with learning ability," IEEE Trans. Energy Convers., vol. 11, no. 4, pp. 721-727, Dec. 1996.
11. S. Mohagheghi, R. G. Harley, and G. K. Venayagamoorthy, "Modified Takagi-Sugeno based fuzzy logic controllers for a static compensator in a multi machine power system," in Conf. Rec. IEEE IAS Annu. Meeting Oct. 2004, pp. 2637-2642.
12. S. Mohagheghi, G. K. Venayagamoorthy, and R. G. Harley, "An adaptive Mamdani fuzzy logic based controller for a static compensator in a multimachine power system," in Proc. IEEE ISAP, Nov. 2005, pp. 228-233.
13. C. C. Lee, "Fuzzy logic in control systems: Fuzzy logic controller - Part I," IEEE Trans. Syst., Man, Cybern., vol. 20, no. 2, pp. 404-418, Mar./Apr. 1990.
14. C. C. Lee, "Fuzzy logic in control systems: Fuzzy logic controller - Part II," IEEE Trans. Syst., Man, Cybern., vol. 20, no. 2, pp. 419-435, Mar./Apr. 1990.
15. Y. H. Song and A. T. Johns, "Application of fuzzy logic in power systems, Part 2: Comparison and integration with expert systems, neural networks and genetic algorithms," IEE Power Eng. J., vol. 12, no. 4, pp. 185-190, Aug. 1998.
16. P. M. Anderson and A. A. Fouad, Power System Control and Stability New York: IEEE Press, 1994.
17. RTDS Technologies, Software Overview. [Online]. Available: http:// www.rtds.com/softover.htm
18. J. M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems. Englewood Cliffs, NJ: Prentice-Hall, 2001.
19. H. Ying, Y. Ding, S. Li, and S. Shao, "Comparison of necessary conditions for typical Takagi-Sugeno and Mamdani fuzzy systems as universal approximators," IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 29, no. 5, pp. 508-514, Sep. 1999.
20. A. Lotfi and A. C. Tsoi, "Importance of membership functions: A comparative study on different learning methods for fuzzy inference systems," in Proc. IEEE Int. Conf. Fuzzy Syst., Orlando, FL, Jun. 1994, pp. 1791-1796.
21. J. M. Mendel and G. C. Mouzouris, "Designing fuzzy logic systems," IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol. 44, no. 11, pp. 885-895, Nov. 1997.
22. J. S. R. Jang and C. T. Sun, "Neuro-fuzzy modeling and control," Proc. IEEE, vol. 83, no. 3, pp. 378-406, Mar. 1995.
23. R. Kuffel, J. Giesbrecht, T. Maguire, R. P. Wierckx, and P. McLaren, "RTDS - A fully digital power system simulator operating in real time," in Proc. ICDS, College Station, TX, Apr. 1995, pp. 19-24.
24. M6x/cM6x Development Package Manual, Innovative Integration, Simi Valley, CA, Dec. 2000.
25. OMNIBUS User's Manual, Innovative Integration, Simi Valley, CA, Feb. 2001.
26. Y. Ding, H. Ying, and S. Shao, "Typical Takagi-Sugeno PI and PD fuzzy controllers: Analytical structures and stability analysis," Inf. Sci., vol. 151, pp. 245-262, May 2003.
27. K. Åström and T. Hägglund, PID Controllers: Theory, Design, and Tuning., 2nd ed. Research Triangle Park, NC: Instrumen., Syst. Autom. Soc., 1995, ch. 3.
28. S. Mohagheghi, "Adaptive critic design based neurocontrollers for local and global control of a multimachine power system with a STATCOM," Ph.D. dissertation, School Elect. Comput. Eng., Georgia Inst. Technol., Atlanta, GA, Aug. 2006.
29. Y. Hua and T. K. Sarkar, "Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise," IEEE Trans. Acoust., Speech, Signal Process., vol. 38, no. 5, pp. 814-824, May 1990.
30. O. M. Pereira-Filho and T. K. Sarkar, "Using the matrix pencil method to estimate the parameters of a sum of complex exponentials," IEEE Antennas Propag. Mag., vol. 37, no. 1, pp. 48-55, Feb. 1995.
31. M. Figueiredo and F. Gomide, "Design of fuzzy systems using neurofuzzy networks," IEEE Trans. Neural Netw., vol. 10, no. 4, pp. 815-827, Jul. 1999.
32. C. T. Lin and C. S. G. Lee, "Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems," IEEE Trans. Fuzzy Syst., vol. 2, no. 1, pp. 46-63, Feb. 1994.
33. A. Lotfi and A. C. Tsoi, "Learning fuzzy inference systems using an adaptive membership function scheme," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 26, no. 2, pp. 326-331, Apr. 1996.
34. S. Mohagheghi, G. K. Venayagamoorthy, and R. G. Harley, "Adaptive critic designs based neuro-fuzzy controller for a static compensator in a multimachine power system," IEEE Trans. Power Syst., vol. 21, no. 4, pp. 1744-1754, Nov. 2006.
35. S. Mohagheghi, G. K. Venayagamoorthy, and R. G. Harley, "Optimal neuro-fuzzy external controller for a static compensator in the 12-bus benchmark power system," IEEE Trans. Power Del., vol. 22, no. 4, pp. 2548-2558, Oct. 2007.
36. S. Mohagheghi, Y. del Valle, W. Qiao, G. K. Venayagamoorthy, R. G. Harley, D. M. Falcão, G. N. Taranto, and T. M. L. Assis, "Steady state and transient behaviour of a fuzzy-based controlled STATCOM optimally placed in a 45 bus Brazilian power system," in Proc. 10th Symp. Spec. Elect. Oper. Expansion Planning (X SEPOPE), Florianopolis, Brazil, May 2006, pp. 1-10.