Comparative Analysis of Optimization Techniques for Controlling an AVR System

Abstract

The work proposed in this paper is study of cost function/error function in addition to different topologies of the optimizer like FFO, ACO, PSO to find an optimum PID for the AVR system. The system parameters depend on selected cost function and the optimizer ability to explore the search space. After setting the cost function and the parameters of optimizer, the well-known metaheuristic method has been applied in order to obtain the parameters of PID controller optimally. The closed loop PID consists of a generator, voltage sensor, amplifier and exciter. The whole system, which includes PID called as the AVR. The objective of the design technique proposed in this paper is to achieve high performance voltage control of the generator. The PID controlled system performance is examined by evaluating the step response characteristics. Upon comparing performances of PID controller using ACO, PSO, and FFO techniques it has been concluded that FFO-PID method is not only efficient, but also robust in improving the step response of an AVR system.