Keywords: track irregularity, permanent magnet track, maglev train, magnetic field, guideway, dynamic excitation.

Permanent magnet guideways are widely used in both superconducting pinning maglev (SPM) and permanent magnet maglev (PMM) systems, where the magnetic field distribution determines levitation and guidance performance. In practice, magnetization errors introduce magnetic field irregularities, which affect system dynamics but are difficult to model in a general way. This paper proposes a probabilistic modeling and generation method for magnetic field irregularities. An efficient magnetic field model based on the equivalent surface current method is established, and a flux-based index is defined to characterize irregularities. Based on the statistical description of magnetization errors, the distribution of irregularities is obtained, and random spatial samples are generated using inverse transform sampling. The irregularities are further mapped into equivalent geometric and stiffness irregularities. Results show that irregularity amplitude increases with magnetization uncertainty and exhibits asymmetric attenuation. The proposed framework provides a practical tool for dynamic simulation and design of maglev systems.

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