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