Research on the Analytical Redundancy Method for the Control System of Variable Cycle Engine

Xiaojie Qiu, Xiaodong Chang, Jie Chen and Baiqing Fan
Additional contact information
Xiaojie Qiu: AECC Aero Engine Control System Institute, Wuxi 214063, China
Xiaodong Chang: AECC Aero Engine Control System Institute, Wuxi 214063, China
Jie Chen: AECC Aero Engine Control System Institute, Wuxi 214063, China
Baiqing Fan: AECC Aero Engine Control System Institute, Wuxi 214063, China

Sustainability, 2022, vol. 14, issue 10, 1-11

Abstract: The safety and reliability of the measuring elements of an aero-engine are important preconditions of the stable operation of the engine control system. The number of control parameters of a variable cycle engine increases by 20%–40% compared to traditional engines. Therefore, it is important to conduct study on the analytical redundancy, design fault diagnosis and isolation of the sensors, as well as the signal reconstruction system, so as to increase the ratability and fault-tolerant capability of the variable cycle engine control system. The analytical redundancy method relies on the accuracy of the mathematical model of the engine. During the service cycle of the engine, it is inevitable that the engine performance will deteriorate, resulting in a mismatch with the model. In this paper, the adaptive model of the variable cycle engine is built with a Kalman filter. Based on this, the strategy of analytical redundancy logic is built and the dynamic adaptive calculation of the threshold is introduced. Simulation results reflect that this method can effectively increase the reliability of sensor fault diagnosis and the accuracy of the analytical redundancy when there is performance degradation of the variable cycle engine.

Keywords: variable cycle engine; control system; sensor; signal reconstruction; analytical redundancy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/10/5905/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/10/5905/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:10:p:5905-:d:814640

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().