控制理论(社会学)
定子
观察员(物理)
谐波
职位(财务)
扭矩
计算机科学
电压
工程类
物理
控制(管理)
人工智能
热力学
电气工程
机械工程
经济
量子力学
财务
作者
Qilian Lin,Ling Liu,Deliang Liang
标识
DOI:10.1109/tpel.2022.3203815
摘要
Harmonics and drifts are found in the position estimation errors of high-frequency signal injection (HFI) methods. To suppress the position estimation error, a hybrid active flux observer with disturbance rejection for both HFI method and model-based method is proposed. It fuses the position information from traditional HFI method and model-based method as the input of a disturbance observer, the estimated disturbance output can compensate measurement error for the two methods. Then a reduced-order natural speed observer is connected in a cascaded form to reject motor mechanical disturbance by estimating the load torque. Besides, a stator resistance identification algorithm is proposed, which is proved stable near zero frequency under persistent excitation condition. A tuning guideline for the whole algorithm is elaborated based on a rigorous stability analysis. Effective experiments and simulations verify the feasibility of the proposed scheme on a 0.75-kW interior permanent magnet synchronous motor drive platform.
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