【摘要】 针对永磁同步电机(PMSM)传统滑模观测器(SMO)符号函数的不连续性引起的抖振问题，同时降低低通滤波器(LPF)环节和相位补偿环节带来的复杂性，提出一种增强型自适应超螺旋滑模观测器(E-ASTSMO)无速度传感器控制算法。采用连续光滑且边界层可调节的二阶非线性函数代替自适应超螺旋滑模观测器(STSMO)中的开关函数，改善系统的不连续性，有效抑制转矩波动，并降低滑模固有抖振。设计一种可以根据转速自适应调整的滑模系数，兼顾低速域与高速域的扩展反电动势估计性能，能在更宽的转速范围内精准估计转子位置，降低转速误差和转子位置估计误差。针对改进E-ASTSMO和传统SMO进行对比仿真和实验，结果表明E-ASTSMO具有更好的动态性能、稳态转子位置估计性能及参数鲁棒性，有效提高PMSM无传感器控制性能。更多还原

【Abstract】 In response to the chattering issue caused by the discontinuity of the sign function in sliding mode observers(SMO) for permanent magnet synchronous motors(PMSM), and aiming to reduce the complexity introduced by the low-pass filter(LPF) and phase compensation stages, an enhanced adaptive super-twisting sliding mode observer(E-ASTSMO) was proposed for sensorless control. A second-order non-linear function with continuous smoothness and adjustable boundary layer was employed to replace the switching function in super twisting sliding mode observer(STSMO), thereby improving the system’s continuity, effectively suppressing torque ripple, and reducing inherent sliding mode oscillations. A sliding mode coefficient adaptable to the rotor speed was designed, which enhances both low and high-speed domains for back-electromotive force estimation, enabling precise rotor position estimation across a wider speed range, consequently reducing the speed error and rotor position estimation error. Comparative simulations and experiments between the E-ASTSMO and traditional SMO were conducted. Results demonstrate that the E-ASTSMO exhibits superior dynamic performance, steady-state rotor position estimation, and parameter robustness, effectively enhancing the sensorless control performance of PMSM.更多还原