| 李博,崔展博,王进,王佳伟,唐洪霞,李玉晓.飞控系统健康管理与故障预测技术研究进展[J].电子测量与仪器学报,2026,40(3):1-13 |
| 飞控系统健康管理与故障预测技术研究进展 |
| Research progress on health management and faultprediction technology of flight control system |
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| DOI： |
| 中文关键词: 飞控系统 故障关系提取 剩余寿命预测 PHM工程化应用 |
| 英文关键词:flight control system fault relationship extraction residual life prediction engineering application of PHM |
| 基金项目:石家庄市科技领军人物项目（248790026A）、装备综合研究主要项目（KJ2024B011614）资助 |
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| Author | Institution |
| Li Bo | 1.Shijiazhuang Hai Shan Aviation Electronic Technology Company Ltd, Shijiazhuang 050208, China;
2.Key Laboratory of Aircraft Inspection and Repair Technology of Hebei Province, Shijiazhuang 050208, China |
| Cui Zhanbo | 1.Shijiazhuang Hai Shan Aviation Electronic Technology Company Ltd, Shijiazhuang 050208, China;
2.Key Laboratory of Aircraft Inspection and Repair Technology of Hebei Province, Shijiazhuang 050208, China；
3.AVIC Xi′an Flight Automatic Control Research Institute, Xi′an 710076, China |
| Wang Jin | 1.Shijiazhuang Hai Shan Aviation Electronic Technology Company Ltd, Shijiazhuang 050208, China;
2.Key Laboratory of Aircraft Inspection and Repair Technology of Hebei Province, Shijiazhuang 050208, China |
| Wang Jiawei | Shijiazhuang Hai Shan Aviation Electronic Technology Company Ltd, Shijiazhuang 050208, China |
| Tang Hongxia | 1.Shijiazhuang Hai Shan Aviation Electronic Technology Company Ltd, Shijiazhuang 050208, China;
2.Key Laboratory of Aircraft Inspection and Repair Technology of Hebei Province, Shijiazhuang 050208, China |
| Li Yuxiao | Shijiazhuang Hai Shan Aviation Electronic Technology Company Ltd, Shijiazhuang 050208, China |
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| 中文摘要: |
| 先进飞控系统实现了飞机全时全权限航姿控制，直接决定着飞行品质优劣，也使其成为飞机故障预测与健康管理（prognostics and health management,PHM）的首要对象。由于飞控系统的功能耦合度高、结构交联关系复杂、退化失效模式多样化等特点，导致其故障特征提取难、寿命预测实时性差、健康评估模型验证难等问题。飞控系统故障特征和关系提取是当前飞控系统PHM领域的一项关键技术，从海量飞行数据中筛选出精准表征故障的关键信息，提升故障识别的准确性和效率；剩余寿命（remaining useful life,RUL）预测是PHM系统的另一项关键技术，通过装备运维数据预测后期性能走势，达到提前故障预警的目的。在飞控系统PHM技术工程应用中，模型的建立是系统能否实现的关键，系统的实时性和可视化也对模型的更新升级不断提出新要求。因此从飞控系统故障信息多源提取、RUL预测的研究现状、飞控系统PHM工程化研究现状等3个方面展开综述。 |
| 英文摘要: |
| The advanced flight control system realizes the full time and full authority of the aircraft′s flying attitude control, which directly determines the flight quality and makes it the primary object of aircraft fault prediction and health management. Due to the high degree of functional coupling, complex structural cross-link relationship, and diversified degradation failure modes of flight control system, it is difficult to extract fault characteristics, poor real-time life prediction, and difficult to verify health assessment model. The extraction of fault characteristics and relationships in flight control systems is a key technology in the current PHM field of flight control systems. By screening out key information that accurately represents faults from massive flight data, the accuracy and efficiency of fault identification can be improved. Remaining life prediction is another key technology of the PHM system. It predicts the later performance trend through equipment operation and maintenance data to achieve the purpose of early fault warning. In the engineering application of PHM technology in the flight control system, the establishment of the model is the key to whether the system can be realized. The real-time performance and visualization of the system also constantly put forward new requirements for the update and upgrade of the model. Therefore, this paper conducts a review from three aspects: multiple extraction of fault information of the flight control system, the research status of RUL prediction, and the research status of PHM engineering of the flight control system. |
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