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Optimal PID Tuning for DC Motor Speed Controller Based on Genetic Algorithm

Ali Taki El-Deen(1), Ahmed Abdel Hakim Mahmoud(2*), Ahmed R. El-Sawi(3)

(1) IEEE senior member, Alexandria University, Egypt
(2) Dept. of Electrical and Computer Control Engineering. Arab Academy for Science and Technology, Egypt
(3) Dept. of Electrical and computer Mansoura University, Egypt
(*) Corresponding author


DOI: https://doi.org/10.15866/ireaco.v8i1.4839

Abstract


The tuning aspect of proportional_ integral _ derivative (PID) controllers is a challenge for research and plant operators because more than half of industrial controllers in use today are PID. This paper presents a soft computing technique which is flexible and fast tuning technique based on genetic algorithm (GA) to determine the optimal parameters of PID controllers for a DC motor as a benchmark for performance evaluation. GA with its statistical properties provides an excellent technique.A comparison between the proposed algorithm and the Active Set Optimization Algorithm (ASOA) is given.Simulationresults show that a wide range of requirements are satisfied with the GA.
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Keywords


DC Motor; PID Tuning; Active Set; Genetic Algorithm (GA)

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References


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