Salem, A., Moustafa, M., Ammar, M. (2014). Tuning PID Controllers Using Artificial Intelligence Techniques.. test, 9(9th International Conference on Electrical Engineering ICEENG 2014), 1-13. doi: 10.21608/iceeng.2014.30369
A. A. Salem; M. A. Moustafa; M. E. Ammar. "Tuning PID Controllers Using Artificial Intelligence Techniques.". test, 9, 9th International Conference on Electrical Engineering ICEENG 2014, 2014, 1-13. doi: 10.21608/iceeng.2014.30369
Salem, A., Moustafa, M., Ammar, M. (2014). 'Tuning PID Controllers Using Artificial Intelligence Techniques.', test, 9(9th International Conference on Electrical Engineering ICEENG 2014), pp. 1-13. doi: 10.21608/iceeng.2014.30369
Salem, A., Moustafa, M., Ammar, M. Tuning PID Controllers Using Artificial Intelligence Techniques.. test, 2014; 9(9th International Conference on Electrical Engineering ICEENG 2014): 1-13. doi: 10.21608/iceeng.2014.30369

Tuning PID Controllers Using Artificial Intelligence Techniques.

The International Conference on Electrical Engineering
Article 15, Volume 9, 9th International Conference on Electrical Engineering ICEENG 2014, May 2014, Pages 1-13
Document Type: Original Article
DOI: 10.21608/iceeng.2014.30369
Authors
A. A. Salem1; M. A. Moustafa2; 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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