Tuning PID Controllers Using Artificial Intelligence Techniques | ||||
The International Conference on Electrical Engineering | ||||
Article 11, Volume 9, 9th International Conference on Electrical Engineering ICEENG 2014, May 2014, Page 1-13 PDF (688.26 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/iceeng.2014.30365 | ||||
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Authors | ||||
A. A. Salem1; M. Mustafa2; M. E. Ammar3 | ||||
1Shams Industry Company (HISENSE EGYPT). | ||||
2Prof. Dr., Dept. of Electric Power and machines, Cairo University. | ||||
3Dr., Dept. of Electric Power and machines, Cairo University. | ||||
Abstract | ||||
This paper investigates PID controller tuning using genetic algorithm, modified genetic algorithm and particle swarm optimization techniques. The proposed techniques are compared to PID controllers tuned by the Ziegler-Nichols technique. Closed-loop simulations are conducted using MATLAB and the genetic algorithm toolbox for two applications, a DC-Motor and an Automatic Voltage Regulator (AVR). | ||||
Keywords | ||||
PID-controller; DC-Motor; AVR system; Genetic Algorithm; Modified Genetic Algorithm; Particle Swarm Optimization | ||||
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