张 港,高文根,杭孟荀,李鹏飞,裴 同.基于改进 SMO 的永磁同步电机全速段位置估算研究[J].电子测量与仪器学报,2021,35(7):185-193
基于改进 SMO 的永磁同步电机全速段位置估算研究
Research on position estimation of permanent magnet synchronous motorat full speed based on improved SMO
  
DOI:
中文关键词:  永磁同步电机  滑模观测器  双曲正切函数  放大因子 K  自适应滤波器  仿真分析
英文关键词:permanent magnet synchronous motor  sliding mode observer  hyperbolic tangent function  amplification factor K  adaptive filter  simulation analysis
基金项目: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(202010363026)资助
作者单位
张 港 1. 安徽工程大学 检测技术与节能装置安徽省重点实验室 
高文根 1. 安徽工程大学 检测技术与节能装置安徽省重点实验室 
杭孟荀 2. 奇瑞新能源汽车股份有限公司 
李鹏飞 1. 安徽工程大学 检测技术与节能装置安徽省重点实验室 
裴 同 1. 安徽工程大学 检测技术与节能装置安徽省重点实验室 
AuthorInstitution
Zhang Gang 1. Key Laboratory of Detection Technology and Energy Saving Devices of Anhui Province, Anhui Polytechnic University, Wuhu 241000 
Gao Wengen 1. Key Laboratory of Detection Technology and Energy Saving Devices of Anhui Province, Anhui Polytechnic University, Wuhu 241000 
Hang Mengxun 2. Chery New Energy Automobile Co, Ltd 
Li Pengfei 1. Key Laboratory of Detection Technology and Energy Saving Devices of Anhui Province,Anhui Polytechnic University, Wuhu 241000 
Pei Tong 1. Key Laboratory of Detection Technology and Energy Saving Devices of Anhui Province,Anhui Polytechnic University, Wuhu 241000 
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中文摘要:
      为了改善传统滑模观测器( sliding mode observer, SMO)存在高频抖振、相位延迟、低速段失效等问题,提出一种改进 SMO 控制策略。 该方法在低通滤波器之前引入一个放大因子,放大反电动势信号以便于提取估计;采用双曲正切函数替换符 号函数,减少系统的高频抖振与信号干扰;采用自适应滤波器来提高检测精度,减小相位延迟。 通过 MATLAB/ Simulink 仿真分 析比较了改进 SMO 和传统 SMO 两种策略,结果显示改进 SMO 相较于传统 SMO 相位延迟时间缩短了 97. 5%,并且能够显著减 少抖振现象,精准估计 20 r/ min 以下的电机转速,实现在全速段保持良好的估算性能,表明改进 SMO 策略具有更优的估算精度 和适应性能。
英文摘要:
      In order to improve the problems of high-frequency chattering, phase delay, and low-speed failure in traditional sliding mode observers (SMO), this paper proposes an improved SMO control strategy. This method introduces an amplification factor before the lowpass filter to amplify the back-EMF signal for easy extraction and estimation; adopts the hyperbolic tangent function as the sign function to reduce the high-frequency chattering and signal interference of the system; adopts an adaptive filter to improve detection Accuracy, reduce phase delay. Through MATLAB/ Simulink simulation analysis, the two strategies of improved SMO and traditional SMO are compared. The results show that the improved SMO reduces the phase delay time by 97. 5% compared with the traditional SMO, and it can significantly reduce chattering phenomenon, and accurately estimate the motor below the speed of 20 r/ min. , to achieve good estimation performance at full speed, indicating that the improved SMO strategy has better estimation accuracy and adaptability.
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