[关键词]
[摘要]
针对传统超螺旋算法二阶滑模观测器(STASSMO)在进行永磁同步电机(PMSM)转子位置和转速估算时固定滑模增益导致鲁棒性差的问题,在已有的稳定条件下提出一种模糊超螺旋算法二阶滑模观测器(FSTASSMO)。利用模糊控制器按照模糊规则进行滑模增益的整定,实现了超螺旋算法滑模增益自整定过程,提高了观测精度,拓宽了有效观测范围,增强了PMSM无位置传感器矢量控制系统的鲁棒性。最后,在MATLAB环境下搭建仿真控制系统对所提出的算法进行验证,结果表明所提算法有效可行。
[Key word]
[Abstract]
The poor robustness of permanent magnet synchronous motor (PMSM) is caused by constant sliding mode gain when the traditional super twisting algorithm second order sliding mode observer (STASSMO) is used to estimate the rotor position and speed. For this problem, a fuzzy super twisting algorithm second order sliding mode observer (FSTASSMO) is proposed under the existing stable conditions. The fuzzy controller is used to set the sliding mode gain according to the fuzzy rules. The sliding mode gain self tuning process of the super-twisting algorithm (STA) is realized, which improves the observation accuracy, broadens the effective observation range, and enhances the robustness of position sensorless vector control system of PMSM. Finally, the proposed algorithm is verified by a simulation control system built in MATLAB circumstances. The simulation result shows that the proposed algorithm is effective.
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