【目的】针对永磁同步电机(PMSM)在急加减速和负载突变时控制精度低、收敛慢、抖振强的问题,本文提出了一种分数阶动态边界层超螺旋滑模自抗扰控制(FO-DBL-STSM-ADRC)策略。【方法】首先,融合ADRC STSMC算法,提升复杂工况下的适应能力。其次,设计新型DBL滑模面,通过动态调整边界层结构,提升系统动态响应速度与抗负载扰动能力。然后,引入分数阶微积分,有效抑制传统滑模的高频抖振,显著增强对稳态误差和抖振的抑制效果。最后,通过仿真和试验验证了所提FO-DBL-STSM-ADRC策略在多种复杂工况下的优越性与鲁棒性。【结果】仿真和试验结果表明,相较于其他3种策略,本文所提FO-DBL-STSM-ADRC策略在响应速度、稳态控制精度、抗负载扰动能力及整体系统鲁棒性等方面均表现出显著优势。【结论】本文所提FO-DBL-STSM-ADRC策略不仅为PMSM的高性能运行提供了有效解决方案,还为电动汽车驱动、轨道交通门控等严苛工程应用提供了技术支撑。

[Objective] To address the issues of low control precision, slow convergence, and strong chattering in permanent magnet synchronous motor (PMSM) under rapid acceleration/deceleration and load changes, this paper proposes a fractional-order dynamic boundary layer super-twisting sliding mode active disturbance rejection control (FO-DBL-STSM-ADRC) strategy. [Methods] Firstly, the ADRC was integrated with the STSMC algorithm to enhance adaptability under complex operating conditions. Next, a novel DBL sliding mode surface was designed, which dynamically adjusted the boundary layer structure to improve the system’s dynamic response speed and load disturbance rejection capability. Then, fractional-order calculus was introduced to effectively suppress the inherent high-frequency chattering of traditional sliding mode control, significantly enhancing the system’s ability to inhibit steady-state errors and chattering. Finally, the superiority and robustness of the proposed FO-DBL-STSM-ADRC strategy were verified through simulation and experiment under various complex operating conditions. [Results] The simulation and experiment results showed that, compared to the other three strategies, the proposed FO-DBL-STSM-ADRC strategy demonstrated significant advantages in terms of response speed, steady-state control precision, load disturbance rejection capability, and overall system robustness. [Conclusion] The proposed FO-DBL-STSM-ADRC strategy not only provides an effective solution for the high-performance operation of PMSM, but also offers technical support for demanding engineering applications such as electric vehicle drives and rail transit door control systems.

国家自然科学基金面上项目(61873120)；南京工程学院科研基金创新基金重大项目(CKJA201903)