Xue Weijun, Huang Heng, Pang Xiwen, Yan Guang
College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
College of Instrument Science and Opto-Electronics Engineering, Beijing Information Science & Technology University, Beijing 100101, China.
Sensors (Basel). 2025 Sep 5;25(17):5559. doi: 10.3390/s25175559.
A three-dimensional load regression system based on fiber Bragg grating strain sensor is proposed to meet the load monitoring requirements of the main landing gear of an aircraft during take-off and landing. The FBG sensors, featuring a strain resolution of 1 με and a strain sensitivity of 1.18 pm/με, were selected to ensure precise strain acquisition. Through three-dimensional modeling and static simulation of the main landing gear, the strain response trend of the structure under this load state is obtained as a reference for sensor placement. On this basis, the sensor networking scheme is designed, and the ground static load of the main landing gear is calibrated. The strain-load regression matrix model for the measured main landing gear is constructed through the collected strain data, and the reliability of its prediction is verified. The results show that the system can effectively monitor the structural load, and the error between the back-calculated regression load and the applied load is within 4%.
为满足飞机主起落架在起飞和着陆过程中的载荷监测需求，提出了一种基于光纤布拉格光栅应变传感器的三维载荷回归系统。选用应变分辨率为1 με、应变灵敏度为1.18 pm/με的光纤布拉格光栅传感器，以确保精确的应变采集。通过对主起落架进行三维建模和静态仿真，得到该载荷状态下结构的应变响应趋势，作为传感器布置的参考。在此基础上，设计了传感器组网方案，并对主起落架的地面静载进行了标定。通过采集到的应变数据构建了实测主起落架的应变-载荷回归矩阵模型，并验证了其预测的可靠性。结果表明，该系统能够有效地监测结构载荷，反算回归载荷与施加载荷之间的误差在4%以内。
