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提出了发动机状态监视、故障诊断的理论方法并搭建了该系统的软硬件平台,为建立机载发动机健康管理系统奠定了坚实的基础。首先,建立并验证了含有健康参数的发动机线性化模型,在模型的基础上设计了用于故障诊断的卡尔曼滤波器;其次,用设计好的滤波器可以准确估计出反应发动机运行状态的不可测参数;随后又用了一组卡尔曼滤波器诊断、隔离了传感器故障;最后,介绍了该部分机载系统原理样机的软硬件配置,并进行了算法平台验证,从操作和实现方式上验证了软硬件平台。该设计满足算法需求且界面人性化、易于操作。
The theoretical method of engine condition monitoring and fault diagnosis is put forward and the hardware and software platform of the system is established. This will lay a solid foundation for establishing the airborne engine health management system. Firstly, the linearization model of the engine with the health parameters is established and verified, and the Kalman filter designed for fault diagnosis is designed based on the model. Secondly, the designed filter can accurately estimate the running state of the reaction engine Then, a set of Kalman filter was used to diagnose and isolate the sensor fault. Finally, the software and hardware configuration of the prototype of the airborne system was introduced and the algorithm platform was validated to verify the operation and implementation Hardware and software platform. The design meets the needs of the algorithm and the interface is humanized and easy to operate.