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Vol.4 , No. 3, Publication Date: Aug. 21, 2017, Page: 31-42
 for Optimal Design of PID Controller in AVR System&description=In this paper, the imperialist competitive algorithm (ICA) is used for determining optimal proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system. In this study, four performance criteria that mostly used in evaluating performance of the PID controller are employed to the proposed AVR system. The optimal PID controller is designed in such a way that it minimizes the set of settling time, rise time, maximum overshoot and integral absolute error of the AVR step response. The used approach had superior features, stable convergence characteristic and including easy implementation respect to classic and other evolution algorithm. Simulation results demonstrate that the designed controller adapt themselves to varying loads and hence provide better performance when compared with based controllers such as particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and the shuffled frog leaping algorithm (SFLA).&picture=http://www.aascit.org/aascit/decorators/img/journal/896.jpg)
| [1] | Mojtaba Ghasemi, Department of Electronics and Electrical Engineering, Shiraz University of Technology, Shiraz, Iran. |
In this paper, the imperialist competitive algorithm (ICA) is used for determining optimal proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system. In this study, four performance criteria that mostly used in evaluating performance of the PID controller are employed to the proposed AVR system. The optimal PID controller is designed in such a way that it minimizes the set of settling time, rise time, maximum overshoot and integral absolute error of the AVR step response. The used approach had superior features, stable convergence characteristic and including easy implementation respect to classic and other evolution algorithm. Simulation results demonstrate that the designed controller adapt themselves to varying loads and hence provide better performance when compared with based controllers such as particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and the shuffled frog leaping algorithm (SFLA).
Keywords
Imperialist Competitive Algorithm, Automatic Voltage Regulator, Optimal Controller Design, PID Controller
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