Fault-Tolerant Control Scheme for the Sensor Fault in the Acceleration Process of Variable Cycle Engine

被引:3
作者
Li, Lingwei [1 ]
Yuan, Yuan [1 ]
Zhang, Xinglong [1 ]
Wu, Songwei [1 ]
Zhang, Tianhong [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Energy & Power Engn, Nanjing 210016, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 04期
关键词
fault-tolerant control; sensor fault; acceleration process; variable cycle engine; adaptive equilibrium manifold model; target shooting method;
D O I
10.3390/app12042085
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This paper presents a fault-tolerant control scheme for the sensor fault in the acceleration process of the variable cycle engine. Firstly, an adaptive equilibrium manifold model with multiple inputs and multiple outputs is established. Combined with the Kalman filter bank, sensor fault diagnosis is carried out to realize the diagnosis and signal reconstruction of the engine in the case of a single sensor and double sensor faults. On this basis, isolation and group isolation are used to diagnose sensor faults and reconstruct signal in speed closed-loop control. Then, the control plan of the acceleration process is optimized based on the target shooting method, aiming to simulate the variation of various variables in the engine acceleration process more accurately, so as to verify the feasibility of the sensor fault-tolerant control scheme. Finally, a hardware-in-loop simulation platform is built based on the idea of distributed control, and the fault-tolerant control scheme of the sensor proposed previously is verified based on this platform. The results show that the proposed scheme can accurately diagnose the sensor faults and reconstruct the signal within 0.2 s, and the actual speed can rise from 67.87% to 99.9% in 4 s, ensuring the safe and rapid completion of the acceleration process.
引用
收藏
页数:23
相关论文
共 18 条
[1]  
Baocheng H., 2001, J PROPULS TECHNOL, V22, P364, DOI DOI 10.13675/J.CNKI.TJJS.2001.05.004
[2]  
Brown H, 1986, SAE AEROSP TECHNOL C, V95, P973, DOI [10.4271/861725, DOI 10.4271/861725]
[3]   Self-validating gas sensor fault diagnosis method based on EEMD sample entropy and SRC [J].
Chen Y.-S. ;
Jiang S.-D. ;
Liu X.-D. ;
Yang J.-L. ;
Wang Q. .
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2016, 38 (05) :1215-1220
[4]  
Dewallef P., 2001, P 15 ISABE C BANGL I, P1
[5]   FAULT-DETECTION AND DIAGNOSIS IN PROPULSION SYSTEMS - A FAULT PARAMETER-ESTIMATION APPROACH [J].
DUYAR, A ;
ELDEM, V ;
MERRILL, W ;
GUO, TH .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1994, 17 (01) :104-108
[6]  
Gou Xue-thong, 2013, Journal of Aerospace Power, V28, P104
[7]  
Hua Y, 2014, TREATISE ELECT MAGNE, V3rd ed.
[8]  
Huang X. H., 2004, CHINESE J AERONAUT, V17, P23, DOI [https://doi.org/10.1016/S1000-9361(11)60198-2, DOI 10.1016/S1000-9361(11)60198-2]
[9]  
Liu T.T., 2017, COAL MINE MACH, DOI [10.13436/j.mkjx.201705054, DOI 10.13436/J.MKJX.201705054]
[10]   Intelligent Fault-Tolerant Control System Design and Semi-Physical Simulation Validation of Aero-Engine [J].
Liu, Yuan ;
Chen, Qian ;
Liu, Shengyi ;
Sheng, Hanlin .
IEEE ACCESS, 2020, 8 :217204-217212