基于滑模观测器的永磁电机转速辨识方法研究

Sliding Mode Adaptive Observer Based Speed Identification for Vector Control of Permanent Magnet Synchronous Motor

设计了一种新型的基于滑模速度磁链自适应观测器的永磁电机转速辨识矢量控制系统,在表贴式永磁电机d-q坐标模型的基础上设计滑模自适应状态观测器来估算电机转速,以电机本身作为参考模型,利用它与电流观测器的误差构造滑模超平面,得到电流观测器的收敛条件。运用Lyapunov稳定性理论,构造Lyapunov函数,推导出转子速度自适应辨识率与定子常数辨识率,将辨识速度作为反馈输入设计无速度传感器矢量控制系统,同时可克服电阻不确定性的影响。仿真结果表明,提出的速度辨识方法具有较强的鲁棒性和较高的动静态性能,证明了控制策略的正确性与有效性。

In this paper, a new sliding mode adaptive observer-based speed identification method was designed for vector control system of permanent magnet synchronous motor. By analyzing the model of surface permanent magnet synchronous motor under d -q coordinate, a sliding mode adaptive observer was proposed to estimate the speed, it selected the motor itself as the reference model and the observer as the adjustable model, the two output errors was used to formulate a sliding mode surface from which the convergence condition was found. Lyapunov function about speed and flux was formed to deduce the speed adaptive law by using Lyapunov theory, the identification speed was set as the feedback input to design the speed sensorless vector control system. The results of simulink shows that the method of speed identification has stronger robustness and good dynamic and steady-state performance, the correctness and validity of the strategy is proved.