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).
Salem, A., Mustafa, M., & Ammar, M. (2014). Tuning PID Controllers Using Artificial Intelligence Techniques. The International Conference on Electrical Engineering, 9(9th International Conference on Electrical Engineering ICEENG 2014), 1-13. doi: 10.21608/iceeng.2014.30365
MLA
A. A. Salem; M. Mustafa; M. E. Ammar. "Tuning PID Controllers Using Artificial Intelligence Techniques", The International Conference on Electrical Engineering, 9, 9th International Conference on Electrical Engineering ICEENG 2014, 2014, 1-13. doi: 10.21608/iceeng.2014.30365
HARVARD
Salem, A., Mustafa, M., Ammar, M. (2014). 'Tuning PID Controllers Using Artificial Intelligence Techniques', The International Conference on Electrical Engineering, 9(9th International Conference on Electrical Engineering ICEENG 2014), pp. 1-13. doi: 10.21608/iceeng.2014.30365
VANCOUVER
Salem, A., Mustafa, M., Ammar, M. Tuning PID Controllers Using Artificial Intelligence Techniques. The International Conference on Electrical Engineering, 2014; 9(9th International Conference on Electrical Engineering ICEENG 2014): 1-13. doi: 10.21608/iceeng.2014.30365
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