Design and Performance Analysis of Fractional Order Fuzzy Pid Controller For Non Linear Magnetic Levitation Train System

Abstract

Magnetic levitation (Maglev) train systems have gained significant attention due to their potential for high-speed transportation with reduced energy consumption and environmental impact. To ensure stable and efficient operation of Maglev trains, effective control strategies are required. This paper proposes the design and performance analysis of a Fractional Order Fuzzy PID (Proportional-Integral-Derivative) controller for a nonlinear Magnetic Levitation Train System. The proposed controller combines the advantages of fractional calculus and fuzzy logic to achieve improved control performance and robustness in the presence of nonlinearities and uncertainties. Simulation results demonstrate the effectiveness of the proposed controller in achieving precise and stable levitation control for the Maglev train system, thereby enhancing its overall performance.