Design of PID Controller Using Genetic Multiple Attributed Decision Making for Automatic VoltageRegulator System

Controller design and optimization problems, with more than one objective, arereferred as multiple objectives or multiple attributed problems. In this paper, anovel method is proposed for designing optimum PID controller that is calledgenetic multiple attributed decision making method (GMADM). This method isnewer than the previous methods and in this paper some options are considered thathave not been considered in previous paper for simplicity. The proposed PIDcontroller is applied on the automatic voltage regulator (AVR).An automatic voltageregulator system is the main part of a generator because this system keeps theoutput voltage in constant level. The simulation results of automatic voltageregulator system are compared with conventional multiobjective algorithm, knownas multiobjective genetic algorithm (MOGA).The simulation results of automaticvoltage regulator system show that GMADM method is better than MOGA andnumber of optimum solutions of the proposed method is greater than the other one.

کلیدواژه ها:

Genetic multiple attributed decision making ، Entropy ، TOPSIS ، Pareto ، Multiobjective genetic ، Automatic voltage regulator