摘要
针对传统的滑模变结构在应用于无刷直流电动机时系统的趋近模态不具有鲁棒性的缺点,提出了一种新型的具有全滑动模态的变结构控制系统,该设计方案对系统参数不确定性、外部干扰等具有较强的鲁棒性,即使系统在响应的全过程都有良好的鲁棒性,滑模控制中的抖振也得到了明显的抑制。并提出采用自适应小波神经网络算法提高无位置传感器直流无刷电动机的转子位置检测精度。最后通过仿真实验证明了上述方法的可行性和有效性。
According to the traditional approach of sliding mode control mode does not have the robustness when it is applied in brushless DC motor（BLDCM）. A new global sliding-mode variable structure control system was proposed. It had better robust for the system parameter uncertainty and external disturbances, even in the whole process, and the jitter problem was inhibited obviously. The rotor position detection accuracy of sensorless BLDCM was enhanced by the wavelet neural network calculation. The simulation results indicate its feasibility and validity.
出处
《微特电机》
北大核心
2012年第6期46-49,共4页
Small & Special Electrical Machines
