Oransal İntegral Türevsel Denetleyici Parametrelerinin Sezgisel Optimizasyon Yöntemleri ile Ayarlanması

Abstract

In this article, modified radial movement optimization (MRMO) is proposed as a new variant of radial movement optimization (RMO). Also, for the three selected test systems, the gain factors of the PID controller were optimized by the proposed method (MRMO), particle swarm optimization (PSO), radial movement optimization (RMO), differential evolution (DE), and genetic algorithm (GA). With heuristic optimization methods, four different error area-based performance criteria were used in parameter tuning: Integral of square error, integral of absolute value of error, time-weighted integral of square error, and time-weighted integral of absolute value of error. First, the performance of the PID controller tuned by these five heuristic optimization methods (MRMO, PSO, RMO, DE, and GA) was compared according to the selected error area criteria, and then the performances of the optimization methods were compared with each other and the results obtained were analyzed. There are many studies in the literature regarding the tuning of PID controller parameters using PSO, DE, GA, and RMO. However, there is no study on the optimization of the gain constants of the PID controller with the proposed MRMO. This is the most important contribution of this study presented to the current literature.