Performance Analysis of Intelligent Controllers for Automatic Voltage Regulator (AVR)
DOI:
https://doi.org/10.51983/ajes-2016.5.2.1982Keywords:
Automatic Voltage Regulator, Fuzzy Logic Controller, Fuzzy-IMC Controller, Self-Tuning Fuzzy- PID ControllerAbstract
This paper present performance analysis of different type of intelligent controllers for Automatic Voltage Regulator. The main purpose of the AVR is to control the terminal voltage of synchronous generator at a specified level. The modelled system composed of the amplifier, exciter, generator and sensor. In this paper, simulation and comparative analysis of the Automatic voltage Regulator has been carried out by using Fuzzy Logic controller, Fuzzy-IMC controller and Self tuning Fuzzy-PID controller and the results are presented. The proposed controller gives a better response in terms of settling time and overshoot.
References
A. Chakrabarti and S. Halder, Power System Analysis Operation and Control, PHI Publication, 2012.
H. Saadat, Power System Analysis, New York, McGraw-Hill, 1999.
I. J. Nagrath and M. Gopal, Control System Engineering, 5th ed. New Age International Publishers, 2010.
J. Faiz, G. Shahgholian, and M. Arezoomand, "Analysis and Simulation of the AVR System and Parameters Variation Effects," Powereng 2007, April 12-14, 2007, Setubal, Portugal.
K. Y. Lee, "Fuzzy logic Applications in power system," IEES-PES winter meeting in Singapore, vol. 4, January, 2000.
M. B. Bayram, H. I. Bulbul, C. Can, and R. Bayindir, "MATLAB/GUI Based Basic Design Principles of PID Controller in AVR," 4th International Conference on Power Engineering, Energy and Electrical Drives, 13-17 May 2013, Istanbul, Turkey, pp. 1017-1022.
McArdle, Morrow, D. J. Calvert, and P. A. J. Cadel, "Hybrid PI and PD type Fuzzy logic controller for Automatic Voltage Regulation of the small alternator," Proceedings of Power Engineering Society Summer meet, vol. 3, pp. 1340-1345, 2001.
N. Madinehi, K. Shaloudegi, M. Abedi, and H. A. Abyaneh, "Optimum Design of PID Controller in AVR System Using Intelligent Methods," IEEE Trondheim Power Tech, 2011.
P. Kundur, Power System Stability and Control, McGraw-Hill, 1994.
S. N. Sivanandam and S. N. Deepa, Principles of Soft Computing, Wiley Publication, 2014.
T. L. Seng, M. B. Khalid, and R. Yusof, "Tuning of a Neuro-Fuzzy Controller by Genetic Algorithm," IEEE Trans. On Systems, Man, and Cybernetics-Part-B: Cybernetics, vol. 29, no. 2, pp. 226-236, April 1999.
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