摘要
为了优化传统滑模观测器(sliding mode observer,SMO)的高频抖振、响应时间长、估算误差大等问题,提出一种改进SMO。将传统SMO中的符号函数替换为新型分段指数函数来减少系统的高频抖振,舍弃误差较大的反正切算法,使用锁相环估算出IPMSM的转速和转子位置信息。使用Lyapunov稳定判据证明了改进SMO的稳定性,并通过MATLAB/Simulink搭建了基于内置式永磁同步电机的改进SMO无传感器控制策略模型,并进行仿真分析。仿真结果表明相比于传统SMO,改进SMO的转子位置估计误差从0.05优化到0.025 rad,系统转速估计响应时间减少50%,转速估计误差减少85%。证明了改进SMO有更高的动态性能和估计精度。
In order to optimize the problems of high⁃frequency chattering,long response time,and large estimation errors of traditional sliding mode observers(SMO),this paper proposes an improved SMO.The sign function in the traditional SMO is replaced with a new piecewise exponential function to reduce the high⁃frequency chattering of the system,the arctangent algorithm with large errors is discarded,and the phase⁃locked loop is used to estimate the IPMSM speed and rotor position information.The Lyapunov stability criterion was used to prove the stability of the improved SMO,and the improved SMO sensorless control strategy model based on the interior permanent magnet synchronous motor was built through Matlab/Simulink,and simulation analysis was performed.The simulation results show that compared with the traditional SMO,the rotor position estimation error of the improved SMO is optimized from 0.05 to 0.025 rad,the system speed estimation response time is reduced by 50%,and the speed estimation error is reduced by 85%.It is proved that the improved SMO has higher dynamic performance and estimation accuracy.
作者
李鹏飞
高文根
张港
秦海峰
Li Pengfei;Gao Wengen;Zhang Gang;Qin Haifeng(Key Laboratory of Detection Technology and Energy Saving Devices of Anhui Province,Anhui Polytechnic University,Wuhu 241000,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2021年第9期65-72,共8页
Journal of Electronic Measurement and Instrumentation
基金
安徽省重点研究与开发计划项目(201904a05020007)
安徽省支持新能源汽车产业创新发展和推广应用项目
国家级大学生创新创业训练计划项目(201810363165)资助。
关键词
永磁同步电机
滑模观测器
新型分段指数函数
仿真分析
permanent magnet synchronous motor
sliding mode observer
new piecewise exponential function
simulation analysis
