WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 9, 2014
Design of Fractional Order PID Controller for DC Motor Using Evolutionary Optimization Techniques
Authors: ,
Abstract: In this paper, a comparison of various Evolutionary Optimization (EO) techniques has been performed for controller tuning (PID and FOPID) for DC motor speed control applications. Three techniques have been considered, which are: genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE). A fixed structure PID and FOPID controller has been considered. Usually in literature, comparison has been carried out based on time domain performance indices; whereas, in this work, mixed sensitivity H∞ method is considered as the fitness function for the comparison of various EO techniques in order to assess the robustness of the designed system. It has been shown that GA optimized FOPID controller has better robustness with respect to model uncertainties.
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Keywords: Controllers, differential evolution, DC motor, genetic algorithm, mixed sensitivity function, particle swarm optimization
Pages: 171-182
WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 9, 2014, Art. #18