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Hybrid Active Flux Observer to Suppress Position Estimation Error for Sensorless IPMSM Drives

IEEE Transactions on Power Electronics(2023)SCI 1区

Xi An Jiao Tong Univ

Cited 13|Views16
Abstract
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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Key words
Observers,Rotors,Stators,Sensorless control,Resistance,Torque,AC motors,Active flux,high-frequency signal injection (HFI),hybrid sensorless control,permanent magnet synchronous motor (PMSM) drive
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要点】:论文提出了一种混合主动通量观测器,以抑制无传感器内永磁同步电机(IPMSM)驱动中位置估计误差,创新性地融合了高频信号注入(HFI)方法和模型基方法,并通过扰动观测器进行误差补偿。

方法】:通过将传统HFI方法和模型基方法的位置信息输入到扰动观测器中,估计的扰动输出用于补偿两种方法的测量误差,并串联一个降阶自然速度观测器来估计负载转矩以抑制电机机械扰动。

实验】:在0.75-kW内永磁同步电机驱动平台上,通过有效实验和仿真验证了所提方案的有效性,并使用特定数据集进行测试,但未明确提及数据集名称。