Author/Authors :
Karimi، Ali نويسنده Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran , , Eskandari، Hossein نويسنده Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran , , Sedighizadeh، Mostafa نويسنده Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran , , Rezazadeh، Alireza نويسنده Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran , , Pirayesh، Abolfazl نويسنده Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran ,
Abstract :
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.
