Condition Monitoring of the Torque Imbalance in a Dual-Stator Permanent Magnet Synchronous Motor for the Propulsion of a Lightweight Fixed-Wing UAV

IF 4.4 2区 地球科学 Q1 REMOTE SENSING
Drones Pub Date : 2023-10-03 DOI:10.3390/drones7100618
Aleksander Suti, Gianpietro Di Rito, Giuseppe Mattei
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Abstract

This paper deals with the development of a model-based technique to monitor the condition of torque imbalances in a dual-stator permanent magnet synchronous motor for UAV full-electric propulsion. Due to imperfections, degradations or uncertainties, the torque split between power lines can deviate from the design, causing internal force-fighting and reduced efficiency. This study demonstrates that, by only elaborating the measurements of speed and direct/quadrature currents of the stators during motor acceleration/deceleration, online estimations of demagnetization and electrical angle misalignment can be obtained, thus permitting the evaluation of the imbalance and total torque of the system. A relevant outcome is that the technique can be used for developing both signal-based and model-based monitoring schemes. Starting from physical first-principles, a nonlinear model of the propulsion system, including demagnetization and electrical angle misalignment, is developed in order to analytically derive the relationships between monitoring inputs (currents and speed) and outputs (degradations). The model is experimentally validated using a system prototype characterized by asymmetrical demagnetization and electrical angle misalignment. Finally, the monitoring effectiveness is assessed by simulating UAV flight manoeuvres with the experimentally validated model: injecting different levels of degradations and evaluating the torque imbalance.
轻型固定翼无人机双定子永磁同步电机转矩不平衡状态监测
本文研究了一种基于模型的无人机全电力推进双定子永磁同步电机转矩不平衡监测技术。由于缺陷、退化或不确定性,电源线之间的扭矩分配可能会偏离设计,从而导致内力冲突和效率降低。本研究表明,仅通过详细测量电机加速/减速过程中定子的速度和直流/正交电流,就可以获得退磁和电角度失调的在线估计,从而可以评估系统的不平衡和总转矩。一个相关的结果是,该技术可用于开发基于信号和基于模型的监测方案。从物理第一性原理出发,建立了包括退磁和电角度失调在内的推进系统非线性模型,以解析推导监测输入(电流和速度)和输出(退化)之间的关系。利用具有非对称退磁和电角失调特性的系统样机对该模型进行了实验验证。最后,利用实验验证的模型模拟无人机飞行演习,通过注入不同程度的退化和评估扭矩不平衡来评估监测有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Drones
Drones Engineering-Aerospace Engineering
CiteScore
5.60
自引率
18.80%
发文量
331
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