Optimal Pid Controller Design for Avr System Using New Optimization Algorithm
نویسندگان
چکیده
During the history of science of computational, many evolutionary algorithms approaches were proposed having more or less success in solving various optimization problems. The algorithm is applied for numerical simulations based on optimized proportional integral derivative (PID) control of an automatic regulator voltage system for nominal system parameters and step reference voltage input illustrate the effectiveness and efficiency of IHBMO approach. Improve Honey Bee Mating Optimization algorithm and Genetic Algorithm (GA) and Big Bang-Big Crunch Optimization are applied to parameters optimization of PID controller. Simulation results is shown that the performance of IHBMO is better than GA and BB-BC, it is provided that a preferable method to optimization parameters of PID controller and the comparison shows the IHBMO-PID algorithm has more efficiency and robustness in improving the step response of an AVR system.
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