摘要
为了适应直线电机速度变化范围大的特点,针对永磁直线同步电机(PMLSM)无传感驱动系统中难以在全速范围内精确提取动子位置信息这一问题,提出了一种基于扩展卡尔曼滤波法(EKF)和位置闭环观测器的复合新型位置估计算法。在电机起动与低速时采用EKF,在中高速时采用位置闭环观测器,在速度承接区域采用EKF和闭环观测器算法的加权复合,以实现PMLSM从起动到高速全速范围内高精度的位置估计。仿真试验结果表明,提出的方法在全速范围内能较准确地估计出电机的位置信息。
As it had a problem of difficulty to precisely extract the mover position information within the full scope for PMLSM sensorless drive system,and linear motor had the characteristics of wide speed variation range,so a new method of the composite algorithm was proposed. The method was based on the extended Kalman filter（ EKF） and closed-loop observer position estimation algorithm. When the motor was started and in low-speed,the extended Kalman filter method was used,but when it was in the high speed,a closed-loop observer position was used. When the speed in undertake region,the weighted composite method was used with extended Kalman filtering algorithms and closed-loop observer to achieve high-precision position estimation in the system of PMLSM from start to a full range of high-speed.Simulation results showed that the method could estimate the location of the motor accurately in full range of speed.
作者
丁莉芬
刘大亮
王桂荣
安小宇
DING Lifen LIU Daliang WANG Guirong AN Xiaoyu(College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China Henan Electric Power Transmission ＆ Transformation Construction Corporation, Zhengzhou 450002, China College of Mechanical ＆ Electrical Engineering, China Jiliang University, Hangzhou 310018, China)
出处
《电机与控制应用》
北大核心
2017年第9期71-76,共6页
Electric machines & control application
基金
国家自然科学项目基金(61203113)
关键词
永磁直线同步电机
无传感驱动系统
扩展卡尔曼滤波法
位置观测器
permanent magnet linear synchronous moror（PMLSM）
sensorless drive system
extended kalman filter（EKF）
position-observer
