| 基于T-S模糊模型的航空发动机非线性分布式控制系统故障诊断 |
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| 引用本文： | 翟旭升,谢寿生,苗卓广,彭靖波,张子阳,王磊. 基于T-S模糊模型的航空发动机非线性分布式控制系统故障诊断[J]. 航空动力学报, 2013, 28(6): 1429-1435 |
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| 作者姓名： | 翟旭升 谢寿生 苗卓广 彭靖波 张子阳 王磊 |
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| 作者单位： | 1.空军工程大学航空航天工程学院, 西安 710038 |
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| 基金项目： | 中国博士后科学基金(20100481498) |
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| 摘 要： | 针对航空发动机非线性分布式控制系统的故障诊断问题,首先提出了一种基于飞行包线划分的航空发动机非线性Takagi-Sugeno(T-S)建模方法,建立了具有网络诱导时延的航空发动机非线性分布式控制系统模型,然后将该系统视为离散切换系统,为其建立了具有时延补偿功能的故障观测器,给出了使得观测器误差系统渐近稳定的充分条件.故障检测仿真时间为20s,当第12s时,设定系统发生幅值为0.0025的阶跃型突变故障,仿真结果表明:12s之前,故障观测器保持渐近稳定,当第12s时,残差迅速增大并超过所设定阈值,从而检测到故障的发生.
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| 关 键 词： | 时延 T-S模糊模型 飞行包线 隶属度函数 故障检测 |
| 收稿时间： | 2012-06-27 |
Fault detection of aero-engine non-linear distributed control system based on T-S fuzzy model |
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| ZHAI Xu-sheng,XIE Shou-sheng,MIAO Zhuo-guang,PENG Jing-bo,ZHANG Zi-yang and WANG Lei. Fault detection of aero-engine non-linear distributed control system based on T-S fuzzy model[J]. Journal of Aerospace Power, 2013, 28(6): 1429-1435 |
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| Authors: | ZHAI Xu-sheng XIE Shou-sheng MIAO Zhuo-guang PENG Jing-bo ZHANG Zi-yang WANG Lei |
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| Affiliation: | 1.The Aeronautical and Astronautical Engineering Institute, Air Force Engineering University, Xi'an 710038, China2.The Aero-Mechanical Engineering Department The First Aeronautical College of Air Force, Xinyang Henan 464000, China |
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| Abstract: | The problem of fault detection for aero-engine no-liner distributed control system was studied.Firstly,a new non-linear modeling method for aero-engine based on Takagi-Sugeno(T-S) fuzzy model and flight envelop division was proposed,and the model of the distributed control system with network derivational time-delay was established by using this method.Secondly,if the distributed control system was regarded as a discrete switch system,a fault detection observer with time-delay compensation was designed,and the sufficient conditions of asymptotically stability for the observer-based residual system were presented.The total simulation took 20 seconds, a step fault with 0.0025 amplitude happened at the 12th second, the simulation results show that: the fault observer was asymptotic stable for preceding 12 seconds, and the residuals rapidly increased and exceeded the threshold value at the 12th second, thereby the fault would be detected. |
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| Keywords: | time-delay T-S fuzzy model flight envelop membership function fault detection |
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