Genetik Algoritma ile Düşük Duyarlılığa Sahip Optimal FOPID Denetleyici Tasarımı

Disturbance rejection FOPID controller design in v-domain

“…Due to difficulties in obtaining analytical solution of arbitrary order differential equations, metaheuristic optimization methods have been widely preferred to solve optimization problems associated with fractional order system design [21] , [22] , [23] , [36] , [37] , [48] , [49] . In the current study, due to its proven search capability and wide utilization, we preferred GA to solve optimization problem associated with the minimum angle pole placement in -plane.…”

“…System stability is an essential concern to be completed in for control system design tasks before consideration of controller performance concerns. For this reason, stabilization of non-integer order control systems has been deeply studied, and many works only addressed stability of such systems in several perspectives; stabilization of the systems according to system pole placements [14] , [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , closed loop system stabilization based on stability boundary locus (SBL) analyses [24] , stabilization by means of zero exclusion principle and value set analysis [25] , [26] . Linear Matrix Inequalities (LMI) technique was proposed for stability checking of fractional order systems [27] , [28] , [29] .…”

“…Previously, we have demonstrated the -domain for optimal stabilization of control systems by placing the minimum angle system pole to a target region [15] , [21] , [22] . A recent study demonstrates a disturbance rejection FOPID controller design in v-domain by using particle swarm optimization [23] . The current study extends this approach to solve multi-objective optimal controller design problem by using a GA and aims improvement of disturbance reject control performance of resulting FOPID controller design.…”