Fuzzy Logic PID Control of Automatic Voltage Regulator System
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Fuzzy Logic PID Control of Automatic Voltage Regulator System

Authors: Aye Aye Mon

Abstract:

The application of a simple microcontroller to deal with a three variable input and a single output fuzzy logic controller, with Proportional – Integral – Derivative (PID) response control built-in has been tested for an automatic voltage regulator. The fuzzifiers are based on fixed range of the variables of output voltage. The control output is used to control the wiper motor of the auto transformer to adjust the voltage, using fuzzy logic principles, so that the voltage is stabilized. In this report, the author will demonstrate how fuzzy logic might provide elegant and efficient solutions in the design of multivariable control based on experimental results rather than on mathematical models.

Keywords: Fuzzy logic system, PID Controller, control systems, controlled A V R

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334215

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References:


[1] B.J. Chalmers, "Influence of saturation in brushless permanent-magnet motor drives," IEE Proc. B, Electr. Power Appl., vol. 139, no. 1, pp.51- 52, 1992.
[2] C. T. Johnson and R.d. Lorenz, "Experimental identification of friction and its compensation in precise, position controlled mechanisms," IEEE Trans. Ind. Applicat., vol.28, no. 6,pp. 1392-1398,1992.
[3] C.Canudas, K. J. Astrom, and K. Braun, "Adaptive friction compensation in DC-motor drives," IEEE J. Robot., Automat., vol. RA- 3, no. 6,pp. 681-685,1987.
[4] M.A. Wishart and R.G. Harley. Identification and control of induction machines using artificial neural networks. IEEE Trans. Ind. Applicat., vol.31,pp.612-619, 1995.
[5] Y.S. Kung, C.M. Liaw and M.S. Ouyang. Adaptive speed control for induction motor drives using neural networks. IEEE Trans. Ind. Electron. Vol.42, 1,pp.25-32, 1995.
[6] Microchip. 2001. PIC18F452 Data Sheet. Microchip Technology Inc. January 2006. http://www.microchip.com.
[7] H. Rongen, "Introduction to Microprocessors and Microcontrollers"Forschungszentrum Julich, Germany 2000.