The active guidance system is required to provide active guidance force when the high-speed maglev train passes through a planar curve line, and the active guidance capability of the train is directly related to the operation safety of the train. High-speed maglev train has a large uncertainty in the model of the guidance system due to the small turning radius of the line, large gradient, and complex line conditions, which leads to a large working interval of the guidance system, drastic changes in the electric current, and the system needs to work at multiple equilibrium points. In order to guarantee the stable guidance of the high-speed maglev train under various line conditions, this paper establishes a dynamic model of the guidance system considering the change of the line curve and designs a corresponding robust controller. A two-degree-of-freedom guidance system dynamic model is developed by fully considering the effects of lateral offset and yaw angle, aiming at comprehensively reflecting the motion characteristics of the guidance system. In order to address model uncertainties caused by currents, \(H\infty\) robust control theory is applied, leading to the design of a robust guidance controller that enhances the system’s robustness performance.