基于模糊滑模算法的永磁同步电机无位置传感器矢量控制  

Position Sensorless Vector Control of PMSM Based on Fuzzy Sliding Mode Algorithm

作　　者：诸德宏[1] 汪瑶 周振飞 ZHU Dehong;WANG Yao;ZHOU Zhenfei(School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China)

机构地区：[1]江苏大学电气信息工程学院,江苏镇江212013

出　　处：《电机与控制应用》2020年第8期29-35,共7页Electric machines & control application

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。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.

关 键 词：永磁同步电机 二阶滑模 无位置传感器矢量控制 模糊控制 超螺旋算法 

分 类 号：TM351[电气工程—电机]