@article{Zhou2025, 
author = {Huawei Zhou and Yixin Gan and Chen Ye},
title = {Enhanced Adaptive Complex-coefficient Filter-based Sensorless Control of Five-phase PMSM with Open-circuit Fault},
year = {2025},
journal = {Chinese Journal of Electrical Engineering},
volume = {11},
number = {3},
pages = {178-190},
keywords = {Permanent-magnet synchronous motor (PMSM), enhanced adaptive complex-coefficient filter (EACCF), fault-tolerant control, sensorless control, sliding mode observer (SMO)},
url = {https://www.sciopen.com/article/10.23919/CJEE.2025.000118},
doi = {10.23919/CJEE.2025.000118},
abstract = {Five-phase permanent-magnet synchronous motors (PMSMs) offer high fault tolerance, low torque ripple, and high torque density. An open-circuit fault results in an asymmetric motor model, which causes direct current (DC) bias and harmonics, thus affecting operational performance with sensorless control under fault-tolerant conditions. To improve operational performance, this study proposes a novel sliding mode observer (SMO) based on an enhanced adaptive complex-coefficient filter (EACCF) for the sensorless vector-control strategy of a five-phase PMSM with an open-circuit fault. The novelty of the proposed strategy is the development of the EACCF, which is characterized by an effective DC bias and harmonic-attenuation capability. Additionally, the fundamental back electromotive force can be estimated without phase lag or amplitude attenuation using the SMO. By incorporating a phase-locked loop, the accuracy of position estimation can be improved under both healthy and open-circuit fault conditions. The sensorless control can not only restrain the fluctuating torque caused by open-circuit faults but also offers good steady-state and dynamic performances under healthy and open-circuit fault conditions. Experimental results are presented to demonstrate the feasibility of the proposed method.}
}