摘要
为改善永磁同步电动机低速控制性能,提出一种基于扩展卡尔曼滤波器的新型估算方法对永磁同步电动机的瞬时速度和负载转矩进行估算。该方法即使在使用低精度编码器时,也能获得实时准确的转子位置、转速和负载转矩。通过使用观测的转子位置、转速,以及将观测的负载转矩对速度PI控制器进行前馈补偿,系统的控制性能得到了极大的改善。同时,考虑到转动惯量的改变对观测器的影响较大,使用最小二乘法辨识转动惯量,用以提高观测器的鲁棒性。仿真结果表明了该方法的有效性。
For improving the control performance of permanent magnet synchronous motor, a new estimation strategy based on extended Kalman filter was proposed to estimate the instantaneous speed and load torque. This strategy can get real-time precise rotor position, speed and load torque even under condition of using low-accuracy encoder. By using estimated position and speed and taking estimated load torque as feed-forward compensation of PI controller, the control performance can be improved greatly. Considering that inertia change had great influence on the observer, the recursive least squares method was used to identify the inertia which can be used to improve the robustness of the observer. Simulation resuits verify the effectiveness of proposed scheme.
出处
《微特电机》
北大核心
2011年第11期24-26,33,共4页
Small & Special Electrical Machines
关键词
永磁同步电动机
低速控制
扩展卡尔曼滤波器
最小二乘法
penmanent magnet synchronous motor
low-speed control
extended Kalman filter
recursive least squares
作者简介
作者简介：丁宇汉（1985-），男，硕士研究生，研究方向为工业自动化、永磁同步电机及其控制。
