Optimal tuning of PID controller for AVR system using modified particle swarm optimization

Authors:
G. Shabib;A. G. Moslem;A. M. Rashwan
Affiliations:
Department of Electrical Engineering, High Institute of Energy, South Valley University, Aswan, Egypt;Department of Electrical Engineering, High Institute of Energy, South Valley University, Aswan, Egypt;Department of Electrical Engineering, High Institute of Energy, South Valley University, Aswan, Egypt
Venue:
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
Year:
2010

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Abstract

This paper present a new method to determine the optimal tuning of the PID controller parameter of an AVR system using Modified particle swarm optimization (MPSO) algorithm. the AVR is not robust to variations of the power system parameters therefore, it is necessary to use PID controller To increase the stability and performance of the AVR system. Fast tuning of optimum PID controller parameter yield high quality solution. A new time domain performance criteria was also defined. Simulation comparison between the proposed method and genetic algorithm is done, the proposed method was indeed more efficient in improving the on line step response of an AVR system.