Automatic voltage regulator using PID controller based on particle swarm optimization

Abstract

This paper presents the optimal PID controller design for Automatic Voltage Regulator (AVR) system. The AVR system is complex and sensitive to noise and disturbance inputs. PID controllers are popular controllers in the design and control of general systems. However, designing optimal PID controllers for complex systems with uncertainty disturbance effect is also an interesting issue for many researchers. In this research, Particle Swarm Optimization (PSO) is used to calculate the optimum PID gain for AVR system. This paper compares the results of system control by using Mean Square Error (MSE), Mean Absolute Error (MAE), and Maximum Absolute Error (MaxAE). From the simulation result, we found that, the PID controller design base on PSO technique has more efficiency in improving the output response of the AVR system under random disturbance effect.