空天应用下开关功率变换器在线故障辨识与健康预报技术研究

To deal with the problem of online health prediction techniques for switched-mode nonlinear power electronic systems with large current and power characteristics, the project focuses on power-switching converters, firstly analyzes the performance degration failure mechanism,fault modes and equivalent circuit models of the power elements in power-switching converters, investigates the modeling and parameter identification techniques for power-switching converters, then studies the online fault prediction methods, fault prediction models and prediction algorithms for power-switching converters, and lastly carry out experimental research on health prediction techniques of power-switching converters. The project is expected to propose the effective theory and methods of health predction for power-switching converters, design the fault identification and prediction algorithms for power-switching converters, develop the testbed and experimental circuits to verify the health prediciton techniques of power-switching converters. The research results of this project which have important scientific significance and application prospects will not only greatly promote the development of airborne electronic and electrical equipment health prediction systems, but also improve the reliability, availability and on-line health prediction ability of the power electronic devices. In additon, the life-cycle cost of airborne electronic and electrical equipment will be reduced, and a scientific basis for the design and development of highly reliable power converters and airborne secondary power supplies will also be provided. It can be used in the fields such as China's new types of military and civil airplane, spacecraft, naval vessels, ground military weapons equipments,nuclear power plants,electrical vehicles, renewable energy generation systems, smart power grid, industrial automation systems and so on.

针对非线性、开关工作方式、大功率的电力电子系统在线健康预报问题，本项目以开关功率变换器为研究对象，分析功率器件性能退化机理、故障模式与等效电路模型，研究开关功率变换器建模与故障辨识技术，研究开关功率变换器故障预测方法、故障预测模型与算法，开展开关功率变换器在线健康预报技术实验研究。项目预期将提出开关功率变换器健康预报理论及方法，给出开关功率变换器故障辨识与故障预测算法设计，研制开发开关功率变换器健康预报技术验证实验样机。 本项目研究成果将有力推动飞行器机载电子电气设备健康预报技术发展，提高电力电子装置可靠性、可用性和在线健康预报能力，降低其全寿命周期费用，为具备自主健康预报能力的高可靠功率变换器与机载二次电源装置的设计开发提供科学依据，能用于我国新一代军/民用飞机、航天器、舰艇、地面武器装备、核电站、电动汽车、新能源发电系统、智能电网与工业自动化系统等，具有重要的科学意义和广阔的应用前景。

本项目面向我国新一代大飞机、战斗机、临近空间飞行器等空天应用下电力电子系统自主式健康管理需求，研究解决开关功率变换器在线故障诊断与健康预报关键科学问题。根据项目研究计划，项目组采用理论建模、仿真分析和实验验证相结合的方法，分别从故障模式分析、故障特征提取、故障辨识及预测方法、状态监测与健康预报综合技术实现等方面开展了深入研究，并完成了功率变换器实验平台的搭建与理论算法模型的验证工作。.项目研究所取得的重要结果包括：（1）为实现开关功率变换器多故障诊断，提出基于极限学习机和深度学习网络的开关功率变换器结构性故障诊断方法；（2）采用基于混杂键合图理论的开关功率变换器建模方法，通过构建电路状态模型目标函数及全局优化算法求解开关功率变换器模型参数，实现了开关功率变换器参数辨识与多故障诊断；（3）将实际工况下故障特征参数等效为标准工况下故障特征参数，这种等效的电路级故障特征参数不受电路工作电压及负载变化影响，解决了变工况下开关功率变换器系统健康状态评估问题；（4）针对温度对开关功率变换器的影响，建立器件特征参数与工作温度之间关系的数学模型，定义器件特征参数归一化因子及健康指标，提出了变温度下功率变换器中关键器件健康状态评估方法；（5）通过分析电路关键器件退化对电路性能的影响，确定开关功率变换器寿命表征参数，基于新型粒子滤波器进行开关功率变换器故障趋势建模及剩余寿命估计。.项目研究成果为空天环境下高可靠开关功率变换器与机载电源系统健康管理技术发展与应用开发，提供了有力的理论及方法支撑。