多/全电飞机电传动系统传感器精度不确定及误差相互校正策略研究

In order to solve the problem that the multiple sensors of the electric drive system of multi/all electric aircraft have not been damaged but the accuracy tend to be uncertain after aging or serving in harsh environment, which leads to the performance degradation of the electric drive system, thus affecting flight safety, this project focuses on the scientific problems of multi-sensor coupled relevance theory model, establishment of calibration benchmark and error mutual calibration in the electric drive system. The main research contents are as follows:.① Coupled relevance theory model: by utilizing the mathematical model and circuit topology of the electric drive system, the correlation between multi-sensor detection signals and system variables is studied, which provides theoretical support for the development of error calibration strategy based on multi-sensor coupling correlation..② Calibration benchmark: in order to establish an accurate and stable calibration benchmark, the self-calibration strategy of sensor error is studied by using the correlation between sensor and system variables..③ Error mutual calibration: in order to solve the problem of sensor accuracy uncertainty, the real-time online error mutual calibration strategy of multiple sensors is realized using multi-sensor coupled relevance theory model and calibration benchmark..With the implementation of this project, it is expected to provide a new strategy to solve the problem of the performance degradation of the electric drive system caused by accuracy uncertainty of the multiple sensors for multi/all electric aircraft. It also provides technical reference for ensuring accurate and efficient control of electric drive system, so as to enhance the safety and reliability of multi/all electric aircraft.

针对多/全电飞机老化或服役于恶劣环境中，其电传动系统传感器尚未损坏，但精度趋于不确定，导致传动系统性能下降，严重影响飞行安全的问题，本项目重点研究电传动系统多传感器耦合关联理论模型、校正基准建立、误差相互校正等科学问题，主要研究内容为：.①耦合关联理论模型：利用电传动系统数学模型及电路拓扑，研究多传感器检测信号之间及其与系统变量的相互关联性，为基于多传感器耦合关联理论模型的误差校正策略提供理论支撑。.②校正基准：利用传感器与系统变量之间的关联性，研究传感器误差自校正策略，建立准确、稳定的校正基准。.③误差相互校正：通过建立的校正基准，利用多传感器耦合关联理论模型，实现多传感器误差的实时在线相互校正。.通过本项目的研究，有望为解决多/全电飞机电传动系统传感器精度不确定导致的传动系统性能下降的问题提供一种新的方案，为保证电传动系统的精确、高效控制提供技术参考，最终增强多/全电飞机的安全可靠性。

针对多/全电飞机老化或服役于恶劣环境中，其电传动系统传感器尚未损坏，但精度趋于不确定，导致传动系统性能下降，严重影响飞行安全的问题，本项目的主要研究内容为电传动系统多传感器耦合关联理论模型、校正基准建立、误差相互校正等科学问题，取得了以下研究成果：(1) 通过理论推导、仿真实验等方式，直观的表现出测量误差对电机系统的危害，完成了测量误差对多/全电飞机电传动系统的影响分析，得到了多传感器之间的耦合关联理论模型，为基于多传感器耦合关联理论模型的健康状态评估及误差校正提供理论基础。 (2) 针对带有母线电流传感器的多/全电飞机电传动系统，研究了基于传感器自校正的校正基准建立策略，为其余传感器的误差相互校正提供了精准且稳定的校正基准，通过理论分析、计算仿真验证不同校正方法的有效性，搭建了电传动系统传感器老化的实验硬件平台，对传感器不同类型的测量误差在线自校正方法进行验证。 (3) 对于不带有母线电流传感器的多/全电飞机电传动系统，研究了基于传感器耦合关联理论模型的多传感器误差相互校正方法，实现了多传感器误差的在线相互校正。通过理论分析、计算仿真验证不同校正方法的有效性。搭建了相应的实验硬件平台，对传感器不同类型的测量误差相互校正方法进行验证。本项目紧密围绕上述科学问题展开，利用电流传感器之间的耦合关联性，通过特殊点电流值的分析，即可对电流传感器的测量误差进行消除。研究结果表明偏置误差的校正残差小于50mA，增益误差平衡后的离散系数（离散系数=增益系数标准差/增益系数平均值）可达0.0136，电驱动系统由于测量误差产生的转矩脉动和转速波动的抑制率分别达到80%和87.5%。本研究为解决多/全电飞机电传动系统传感器精度不确定导致的传动系统性能下降的问题提供了一种新的方案，为保证电传动系统的精确、高效控制提供技术参考，可以有效增强多/全电飞机的安全可靠性，研究内容可以推广至电动汽车电驱动系统等所有需要电流传感器作为反馈信号的控制场合。