Design and Implementation of IT2FLC for Magnetic Levitation System
Anupam Kumar, Vijay Kumar · 2012
Magnetic Levitation System (MLS) or Maglev is an unstable, nonlinear complex system. The basic aim of our research work is for suspending the steel ball without any mechanical support in desired position with help of an efficient controller. For this task we have proposed an interval type-2 fuzzy logic controller (IT2FLC) based on theory of type-2 fuzzy logic systems (T2FLS). Fuzzy logic based on interval value sets is capable of modelling the uncertainty and precision in a better way. However, in real time application uncertainty associated with the available information is always occurs. The proposed controller performance is compared with the single input fuzzy logic controller (SIFLC), conventional fuzzy logic controller i.e. type-1 fuzzy logic controller (T1FLC) and also with proportional-integral-derivative (PID) controller designed in the Matlab-Simulink environment. Simulation results are analysed for all the controllers and validated in the real time model of the magnetic levitation system. The proposed IT2FLC is surpassing the performance obtained with other controllers and is cleared from the computed time response parameters.