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New Autonomous Sensorless Technique for Five Phase Permanent Magnet Motor Drive System From Perspective of Flux Intensifying Effect and ADRIL Observation
IEEE Transactions on Transportation Electrification ( IF 7.2 ) Pub Date : 2024-03-18 , DOI: 10.1109/tte.2024.3376990
Li Zhang 1 , Zifeng Pei 1 , Xiaoyong Zhu 1 , Ming Zhang 1 , Chao Chen 2
Affiliation  

The motor parameter variation and complex harmonic interference will seriously affect the sensorless control performance. Most previous sensorless techniques target improving estimation performance from the perspective of the control algorithm, which increases the complexity of the entire drive system and is difficult to ensure the superior multiple sensorless operating performance. In this study, a solution to the aforementioned problems is devised by developing a new autonomous sensorless technique from the perspective of the motor drive system. First, based on the analysis of the influence of parameter variation on rotor position observation, a five-phase flux-intensifying fault-tolerant interior permanent magnet (FI-FTIPM) motor with the design concept of “magnetic-barrier guidance” is innovatively put forward, which can effectively suppress the parameter variation caused by saturation effect. Second, a sensorless control algorithm based on a new active disturbance rejection iterative learning (ADRIL) observation is proposed, which can suppress harmonic disturbance and further improve the accuracy of sensorless observation. Finally, the experimental results verify the effectiveness of the proposed strategy.

中文翻译:


从磁通强化效应和ADRIL观测角度看五相永磁电机驱动系统自主无传感器新技术



电机参数变化和复杂谐波干扰会严重影响无传感器控制性能。以往的无传感器技术大多从控制算法的角度来提高估计性能,这增加了整个驱动系统的复杂性,难以保证优越的多重无传感器运行性能。在本研究中,从电机驱动系统的角度出发,通过开发一种新的自主无传感器技术来解决上述问题。首先,在分析参数变化对转子位置观测的影响的基础上,创新性地提出了一种具有“磁障引导”设计理念的五相磁通强化容错内置永磁(FI-FTIPM)电机。向前,可以有效抑制饱和效应引起的参数变化。其次,提出了一种基于新型自抗扰迭代学习(ADRIL)观测的无传感器控制算法,可以抑制谐波扰动,进一步提高无传感器观测的精度。最后,实验结果验证了所提出策略的有效性。
更新日期:2024-03-18
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