Multi-level fuzzy rule based control strategy for Maglev system

A Magnetically Levitated Vehicle System (MAGLEV) is nonlinear, complex and imprecise and therefore, difficult to be expressed in terms of a mathematical model. Non-linear feedback control and strategies using linear small perturbation models do not yield satisfactory results. Such a system is best described by quantitatively and easily handled by human operators. A Fuzzy logic approach based on inputs; outputs and control response is proposed to control the Maglev system. The input and output variables are usually crisp numbers with many permitted levels in an allowed range, and the system parameters are linguistic in nature. A multilevel fuzzy logic rule based control strategy is being suggested for the Maglev system. The proposed control strategy offers advantages in designing a fuzzy controller for the Maglev system.