TID and I-TD controller design for magnetic levitation system using genetic algorithm

This article is about the design of controllers for magnetic levitation (Maglev) system in both simulation and real time. Local linearization around the equilibrium point has been done for the nonlinear Maglev system to obtain a linearized model transfer function. In this study, the design of integral-tilted-derivative (I-TD) controller has been proposed for the Maglev system and its performance is compared with conventional tilted-integral-derivative (TID) controller. In this study, TID controller parameters have been optimized through genetic algorithm (GA) and those set of values have been employed for the design of I-TD controller. A performance comparison between TID and I-TD controller is then investigated. The analysis shows the superiority of I-TD controller over TID controller in terms of maximum overshoot, gain margin and phase margin. The settling time remains almost same in both the cases. In future, a detailed study of robustness in presence of model uncertainties will be incorporated as a scope of further research