Designing of an interval type-2 fuzzy logic controller for Magnetic Levitation System with reduced rule base
Anupam Kumar, Manoj Kumar Panda, Sumanta Kundu, Vijay Kumar · 2012
Magnetic Levitation System (MLS) is a typical multi-variable, nonlinear and unstable 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. The simulation of MLS based on its mathematical model is carried out in MATLAB and its real time implementation is also achieved. In this paper an interval type-2 single input fuzzy logic controller (IT2SIFLC) is designed for a Magnetic Levitation System. For this task we have proposed an interval type-2 single input fuzzy logic controller (IT2SIFLC) based on theory of type-2 fuzzy logic systems (T2FLS) and single input theory of fuzzy logic control, which has the advantage of the total number of rules are abruptly reduced compared to interval type-2 fuzzy logic controller (IT2FLC). The tracking performance and robustness are also checked for this system. For tracking, two type of reference trajectory are modelled. One is sine wave and other is a set of constant point varying at different levels. Lastly for robust performance, disturbance is applied in MLS. The simulation and experiment results are indicating that the proposed control method has good control ability.