基于Lyapunov理论的航空发动机非线性分布式故障检测系统设计

Design of Nonlinear Distributed Fault Detection System for Aeroengine Based on Lyapunov Theory

摘要:

航空发动机是航空飞行器中的核心部件,为及时解决和隔离航空发动机的非线性分布式故障,利用Lyapunov理论开发设计航空发动机非线性分布式故障检测系统。改装信号采集器和处理器元件,改装远程通信模块和系统电路,完成硬件系统的优化。根据航空发动机的工作原理和故障原理,设置故障检测标准。收集航空发动机的运行和振动数据,利用Lyapunov理论提取航空发动机非线性特征,通过与设置故障检测标准的特征匹配,确定当前航空发动机运行状态、故障类型以及故障位置,实现系统的故障检测功能。通过系统测试实验得出结论:综合考虑活塞式和涡轮两种类型的航空发动机,优化设计系统的故障类型误检率明显降低,故障点数量检测误差减小了3.3个。

Abstract:

The aviation engine is the core component in the aviation aircraft. In order to solve and isolate the nonlinear distributed faults of the aviation engine in a timely manner, Lyapunov theory is used to develop and design a nonlinear distributed fault detection system for the aviation engine. Modify signal collectors and processor components, modify remote communication modules and system circuits, and complete hardware system optimization. Set fault detection standards based on the working and fault principles of aviation engines. Collect operational and vibration data of aviation engines, use Lyapunov theory to extract nonlinear features of aviation engines, and determine the current operating status, fault type, and fault location of aviation engines by matching them with the features set by fault detection standards, completing the fault detection function of the system. Through system testing experiments, it was concluded that considering both piston and turbine types of aviation engines, the error detection rate of fault types in the optimized design system was significantly reduced, and the detection error of the number of fault points was reduced by 3.3.