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Application of Particle Swarm Optimization in Design of PID Controller for AVR System

Application of Particle Swarm Optimization in Design of PID Controller for AVR System

H. F. Abu-Seada, W. M. Mansor, F. M. Bendary, A. A. Emery, M. A. Moustafa Hassan
Copyright: © 2013 |Volume: 2 |Issue: 3 |Pages: 17
ISSN: 2160-9772|EISSN: 2160-9799|EISBN13: 9781466634343|DOI: 10.4018/ijsda.2013070101
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MLA

Abu-Seada, H. F., et al. "Application of Particle Swarm Optimization in Design of PID Controller for AVR System." IJSDA vol.2, no.3 2013: pp.1-17. http://doi.org/10.4018/ijsda.2013070101

APA

Abu-Seada, H. F., Mansor, W. M., Bendary, F. M., Emery, A. A., & Hassan, M. A. (2013). Application of Particle Swarm Optimization in Design of PID Controller for AVR System. International Journal of System Dynamics Applications (IJSDA), 2(3), 1-17. http://doi.org/10.4018/ijsda.2013070101

Chicago

Abu-Seada, H. F., et al. "Application of Particle Swarm Optimization in Design of PID Controller for AVR System," International Journal of System Dynamics Applications (IJSDA) 2, no.3: 1-17. http://doi.org/10.4018/ijsda.2013070101

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Abstract

This paper presents a method to get the optimal tuning of Proportional Integral Derivative (PID) controller parameters for an AVR system of a synchronous generator using Particle Swarm Optimization (PSO) algorithm. The AVR is not initially robust to variations of the power system parameters. Therefore, it was necessary to use PID controller to increase the stability margin and to improve performance of the system. Fast tuning of optimum (PID) controller parameter yield high quality solution. New criteria for time domain performance evaluation was defined. Simulation for comparison between the proposed method and Ziegler-Nichols method is done. The proposed method was indeed more efficient also. The terminal voltage step response for AVR model will be discussed in different cases and the effect of adding rate feed back stabilizer to the model on the terminal voltage response. Then the rate feedback will be compared with the proposed PID controller based on use of (PSO) method to find its coefficients. Different simulation results are presented and discussed.

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