无位置传感器无刷直流电机全局滑模控制研究

针对传统滑模控制应用于无刷直流电机(BLDCM)在趋近模态不具有鲁棒性的缺点,提出了一种新型具有全滑动模态的变结构控制策略,该控制方法对系统参数的不确定性和外部干扰等问题具有较强的鲁棒性,可以较好的抑制常规滑模控制中的抖振问题。同时采用自适应小波神经网络算法提高无刷直流电机转子位置检测精度,从而为无刷直流电机提供准确的换相信号。最后通过仿真实验证明了上述方法的可行性和有效性。

The Research of Sensorless Brushless DC Motor Based on Global Sliding Mode Control

According to the traditional approach of sliding mode control mode does not have the robustness of the shortcomings when it apply in brushless DC motor （BLDCM） .A new global sliding-mode variable structure control system was proposed in this paper. The program on the system parameter uncertainty, external disturbances has highly robust, which makes the system in the whole process have the good robustness, and also inhibit the sliding mode control variable structure jitter problem. The simulation results show that the proposed method is possibility and usefulness.