FIREFLY ALGORITHM BASED POSITION CONTROL OF MAGLEV SYSTEM

Abstract

This research work aims to control and stabilize the Magnetic Levitation (Maglev) system, which levitates a magnetic ball in space being under the influence of a magneticfield only. Different controllers’ feedback is used to stabilize the highly unstable nature of the MagLev system. The transfer function is constructed through dynamic model analysis,which isthen applied to a more straightforward mathematical model. Different controllersused are PD and PID. Also, the gain values of the controllers are found out after applying optimization algorithms. The applied algorithms for optimization are Genetic Algorithm, Particle Swarm Optimization, and Firefly Algorithm. The applied algorithms are found to be helpful in reaching a steady state at a faster rate with less steady state error, integral square error and integral time absolute error.