Akademik Veri Yönetim Sistemi
Journal of Aeronautics and Space Technologies , cilt.14, sa.2, ss.209-219, 2021 (TRDizin)
Nowadays, the use of metaheuristic optimization
algorithms is becoming widespread because of easy applying and be able to
provide requirements in the solution of high level complex optimization
problems. In this study, four different metaheuristic optimization algorithms (particle
swarm optimization, artificial bee colony, gray wolf optimization, moth-flame
optimization) are used for the optimization of the fractional order proportional-integral-derivative
(FOPID) controller applied to the gas turbine power plant model, which is
considered as the sample model, and the transient responses of the optimized systems
compared according to the system output signals. The settling time, maximum overshoot
percentage and rise time are used as comparison criteria, and then it is
concluded that the grey wolf optimization and artificial bee colony algorithms
provided superior results with respect to the other algorithms discussed. By
using metaheuristic algorithms, the optimization of the fractional order PID
controller applied to the gas turbine power plant model has been achieved.