Keywords: high-speed maglev, guidance gap, guideway surface, control optimization, ride comfort, alignment reconstruction.

To address the guidance reference distortion caused by the discrete straight-line approximation of track girders in horizontal curve sections, this paper proposes a target guidance gap reconstruction and control optimization method for high-speed maglev. First, a multi-parameter constrained reconstruction model is established, taking the circular curve radius and the front and rear inward offsets as the core variables. Under various constraint conditions, a smooth reference alignment highly consistent with actual track characteristics is iteratively fitted. Subsequently, the lateral deviation of the reconstructed alignment is superimposed on the theoretical gap to generate the target guidance gap, which is then incorporated into the PID control system to mitigate the disturbances caused by the discrete straight-line of track girders in horizontal curve sections. Finally, the effectiveness of the proposed method is verified based on data of the Shanghai Maglev Line. The results indicate that the fluctuation range of the optimized guidance gap narrows from 5–15 mm to 8–13 mm, and the peak lateral vibration acceleration of the car body decreases from 1.3 m/s² to 0.57 m/s². The proposed method significantly improves the running stability and ride comfort of high-speed maglev vehicles negotiating horizontal curves.

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