Reserch of fault detection and isolation algorithms for LRE base on fuzzy granulation
- Paper number
IAC-11,C4,3,13,x10907
- Author
Mr. Yan jun Li, College of Aerospace and Materials Engineering, National University of Defense Technology, China
- Coauthor
Dr. Yuqiang Cheng, College of Aerospace and Materials Engineering, National University of Defense Technology, China
- Coauthor
Dr. Jianjun Wu, National University of Defense Technology, China
- Year
2011
- Abstract
Fault detection and isolation is an important way to improve the safety and reliability of Liquid-propellant Rocket Engines(LRE). Thus, two main problems need to be solved in the fault diagnosis of LRE: whether the fault occur or not and where dose the fault occur. Fuzzy granulation is an artificial intelligence algorithm. It need not an exact evaluation and use an approximated fitness that is computationally efficient. In this paper, a real-time fault detection algorithm at the start-up stage of liquid-propellant rocket engine is developed based on the fuzzy granulation and Matlab. Secondly, a fault detection and isolation algorithm based on fuzzy granulation for main stage process of rocket engine are designed and realized. The fault detection and isolation algorithms based on fuzzy granulation are off-line validated by a large amount of fire-test data. The results indicate that the fault detection algorithms based on fuzzy granulation can detect the faults timely and effectively which have occurred during the test with no false alarm to normal test data. The algorithms can meet the requirements of real-time ability and robustness during the ground fire-test, it also can isolate the main stage fault effective. The results have some important significance in the application to develop the health monitoring system for LRE and launch vehicles.
- Abstract document
- Manuscript document
IAC-11,C4,3,12,x10907.pdf (🔒 authorized access only).
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