[Objective] The electrically excited flux-switching linear motor (EEFSLM) maglev system is a complex nonlinear system characterized by strong coupling and uncertain disturbances. The linear active disturbance rejection control (LADRC) exhibits limitations in maglev applications due to its fixed parameters and insufficient adaptability, making it difficult to reconcile the inherent trade-off between rapid dynamic response and strong disturbance rejection. To address this, this paper proposes a fuzzy active disturbance rejection control (FADRC) strategy to enhance the controller’s parameter self-adaptation capability. [Methods] Firstly, a mathematical model for the magnetic levitation direction was established based on the special structure and operating mechanism of the EEFSLM, and the magnetic levitation force equation and motion equation were derived. Secondly, the parameters of the linear state error feedback (LSEF) control law were tuned using the bandwidth method. To address the insufficient adaptability of fixed parameters, a FADRC controller was designed by introducing a fuzzy inference mechanism to adaptively adjust the LSEF bandwidth online. Finally, simulation analyses of FADRC, LADRC, and traditional proportional-integral (PI) control were conducted on the Matlab/Simulink platform. [Results] Simulation results showed that compared with LADRC and traditional PI control strategies, the FADRC strategy exhibited faster response speed and stronger disturbance rejection capability, demonstrating strong robustness and stability. [Conclusion] The proposed FADRC strategy in this paper significantly improves the control performance of the EEFSLM maglev system and can effectively meet the requirements for stable operation under high-performance conditions.