基于喘振信息数据融合的发动机温度传感器

针对热电偶（阻）型温度传感器呈现较强的惯性，提出一种基于矩阵奇异分解的传感器数据融合方法，将喘振信息与温度传感器输出信号相融合，分别消除了发动机进口温度T1约1．2％和涡轮后燃气温度L约0．8％的静态误差；同时，还提出了利用喘振信息消除温度传感器动态误差的技术，补偿了热电偶（阻）的惯性延迟。实验和仿真结果表明，该数据融合方法和动态补偿技术不仅算法简单有效，而且温度补偿准确，提高了发动机电子调节器工作的可靠件．

Aero-engine temperature sensor based on surging sign data fusion

For the problem of temperature sensor thermocouple's strong inertia, this paper proposes a kind of sensor data fusion algorithm based on matrix singular value decomposition for temperature sensor output information and surging sign. It respectively eliminates about 1.2% static error for aero-engine inlet temperature T_1 sensor and about 0.8% static error for low pressure turbine outlet temperature T_4 sensor. At the same time, in order to compensate thermocouple's inertia delay, this paper proposes a method in which surging information is used to eliminate temperature sensor dynamic error. Simulation and experimental results demonstrate the sensor data fusion and dynamic compensation technique are not only simple and efficient, but also accurate in temperature compensation. Thus it can improve the reliability of engine electronic controller.