【目的】为提高永磁同步电机(PMSM)无差拍电流预测控制（DPCC）系统的抗干扰能力，针对传统线性扩张状态观测器（LESO）在快速时变扰动和高频谐波下的性能限制，提出了一种新型二阶增强型扩张状态观测器（SEESO）。【方法】首先，推导出由逆变器非线性和永磁体磁链引起的6k次谐波模型，并建立了无差拍电流预测控制的数学模型。其次，从快速性、稳定性和准确性三个方面分析了参数扰动对DPCC动态和稳态控制性能的影响。然后，构建了SEESO模型，并理论证明其稳定性以及与传统扩张状态观测器在扰动和扰动误差观测性方面的差异。再者，根据终值定理证明了SEESO相较于LESO可以实现时变扰动的零稳态误差观测。【结果】最后，通过Matlab/Simulink仿真软件验证了所提控制策略的可行性与优越性。具体而言，SEESO有效降低了跟踪误差，并且能在动态负载干扰下快速实现稳定。此外，稳态的六次谐波更低，从而增强了系统对谐波的抵抗能力。SEESO在稳态参数扰动下也保持了更高的估计精度和响应速度，进而提升了对系统参数变化的鲁棒性。【结论】结果表明SEESO能够有效提高DPCC的抗干扰能力，进而为电机驱动系统抗干扰能力的提升提供了一种有效解决方案。

［Objective］ To improve the disturbance rejection capability of the deadbeat predictive current control (DPCC) system for permanent magnet synchronous motors (PMSM), a secondorder enhanced extended state observer (SEESO) is proposed to overcome the performance limitations of traditional linear extended state observers (LESO) under rapid timevarying disturbances and highfrequency harmonics. ［Methods］ First, the 6k harmonic model caused by inverter nonlinearity and the magnetic flux of the permanent magnet was derived, and the mathematical model for DPCC was established. Then, the impact of parameter disturbances on the dynamic and steadystate control performance of DPCC was analyzed in terms of speed, stability, and accuracy. Next, the SEESO model was constructed, and its stability and the differences in disturbance and disturbance error observations compared with the traditional extended state observer were theoretically verified. Furthermore, the final value theorem was used to demonstrate that the SEESO could achieve zero steadystate error observation of timevarying disturbances, in contrast to LESO. ［Results］ Finally, the feasibility and advantages of the proposed control strategy were verified through Matlab/Simulink simulation software. Specifically, SEESO effectively reduced tracking errors and quickly stabilized under dynamic load disturbances. Additionally, the sixth harmonic in steadystate conditions was significantly reduced, improving the system’s resistance to harmonics. SEESO also demonstrated higher estimation accuracy and faster response speed under steadystate parameter disturbances, thus improving the system’s robustness to parameter variations. ［Conclusion］ The results show that SEESO can effectively enhance the disturbance rejection capability of DPCC, providing an effective solution for improving the disturbance rejection capability of motor drive systems.

安徽省自然科学基金面上项目（2408085ME109）；安徽省教育厅自然科学基金重大项目（2022AH040110）；国家自然科学家基金青年科学基金（51905003）