Abstract: [Objective] This study addresses the challenges of slow dynamic response, insufficient tracking accuracy, and complex parameter tuning in permanent magnet synchronous linear motor under multi-source disturbances. Reduced-full-order switched active disturbance rejection control based on particle swarm optimization (PSO-RSADRC) algorithm is proposed to enhance control precision. [Methods] First, an intelligent switching active disturbance rejection control (SADRC) architecture was constructed, optimizing disturbance rejection performance through linear/nonlinear dynamic switching. Then, reduced-full-order SADRC (RSADRC) to simplify the observer structure and reduce parameter coupling was proposed. Finally, to address the multi-parameter coupling issue in the nonlinear error feedback module, a PSO-RSADRC approach was developed, and simulation and experimental validation were conducted based on a fourth-order S-curve motion planning model. [Results] Simulation results demonstrated that PSO-RSADRC achieved an integral time-weighted absolute error of 0.95 and maximum dynamic error of 19 μm under 1 A step disturbance, improving precision by 98% compared to conventional linear ADRC. During platform validation, the settling time was reduced to 57 ms with a 32% enhancement in response speed. [Conclusion] The proposed PSO-RSADRC strategy effectively resolves precision motion control challenges under multi-source disturbances, demonstrating significantly superior parameter tuning efficiency and disturbance rejection robustness compared to conventional methods. This solution provides a reliable technical approach for high-precision industrial applications such as microelectronics packaging.