Application of the genetic algorithm to design an optimal PID controller for the AVR system
Gharib, K., Ebrahim, O., Temraz, H., Awadallah, M. (2008). Application of the genetic algorithm to design an optimal PID controller for the AVR system. EKB Journal Management System, 6(6th International Conference on Electrical Engineering ICEENG 2008), 1-11. doi: 10.21608/iceeng.2008.34520
K. H. Gharib; O. S. Ebrahim; H. K. Temraz; M. A. Awadallah. "Application of the genetic algorithm to design an optimal PID controller for the AVR system". EKB Journal Management System, 6, 6th International Conference on Electrical Engineering ICEENG 2008, 2008, 1-11. doi: 10.21608/iceeng.2008.34520
Gharib, K., Ebrahim, O., Temraz, H., Awadallah, M. (2008). 'Application of the genetic algorithm to design an optimal PID controller for the AVR system', EKB Journal Management System, 6(6th International Conference on Electrical Engineering ICEENG 2008), pp. 1-11. doi: 10.21608/iceeng.2008.34520
Gharib, K., Ebrahim, O., Temraz, H., Awadallah, M. Application of the genetic algorithm to design an optimal PID controller for the AVR system. EKB Journal Management System, 2008; 6(6th International Conference on Electrical Engineering ICEENG 2008): 1-11. doi: 10.21608/iceeng.2008.34520

Application of the genetic algorithm to design an optimal PID controller for the AVR system

The International Conference on Electrical Engineering
Article 149, Volume 6, 6th International Conference on Electrical Engineering ICEENG 2008, May 2008, Page 1-11  XML PDF (128.33 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2008.34520
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Authors
K. H. Gharib1; O. S. Ebrahim2; H. K. Temraz2; M. A. Awadallah3
1Ministry of Electricity, Cairo, Egypt.
2Faculty of Engineering, Ain Shams University, Cairo, Egypt.
3Faculty of Engineering, Zagazig University, Cairo, Egypt.
Abstract
Abstract:
In this paper, a method for optimal proportional-integral-derivative (PID) controller
design is proposed to improve the performance of the turbo generator automatic voltage
regulator (AVR). The method utilizes the genetic algorithm (GA) to find the controller
gains that minimize a synthesized performance index. The performance index considers
the system response to both set point and voltage disturbance. Furthermore, the closed
loop robust stability is guaranteed by imposing a finite bound on the maximum
sensitivity function. Simulation tests are provided to validate the effectiveness of the
proposed scheme.
Keywords
Proportional-Integral-Derivative (PID) controller; Genetic algorithm (GA); Automatic Voltage Regulator (AVR)
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