Optimization of PIDA controller for AVR System Using GSA

The concept of the search process of GSA (Gravitational Search Algorithm) is pageant and it’s a heuristic algorithm depends on act of motion and gravity which have anamnesia ability. Several algorithms based on metamorphic computation principals have been successfully applied to recognize the optimized parameters for an AVR systems. However, most of algorithm maintain a restraint result of an improper equilibrium between exploration and exploitation in their search strategies. This paper presents performance and design of parameters of Proportional-Integral-Derivative-Acceleration (PIDA) controller by using gravitational search algorithm and applied in electrical applications and various optimization problems like automatic voltage regulator system. GSA has showed optimum performance correlated to other algorithms as GA, PSO, and FA Method.