Optimal design of Fractional order PID controller based Automatic voltage regulator system using gradient-based optimization algorithm (original) (raw)
2021, Journal of King Saud University: Engineering Sciences
In this paper, a fractional order model of pneumatic servo system is introduced by replacing the integer order dynamic equation with the corresponding fractional order one. Then, a Fractional order Proportional-Integer-Differential (FPID) controller is optimized for the servo system using an online multi-variable multi-objective genetic algorithm (MMGA). The proposed MMGA searches in fivedimensional parameter space based on Pareto rank to balance multi-objectives. In order to provide a basis for comparison, the parameters of a Integer order Proportional-Integer-Differential (IPID) controller are also optimized using the same method. The performance indices defined for comparison are the steady state tracking accuracy and the control energy consumption. Additionally, seven other methods from the literature are compared. The experimental results obtained show that the optimized FPID controller results in a better performance than the optimized IPID controller and the other existing approaches.
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