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Research of an intelligent method to analyze damage-mitigating control law for liquid-propellant rocket engine (PDF)

《火箭推进》[ISSN:1672-9374/CN:CN 61-1436/V]

Issue:
2008年03期
Page:
1-6
Research Field:
研究与设计
Publishing date:

Info

Title:
Research of an intelligent method to analyze damage-mitigating control law for liquid-propellant rocket engine
Author(s):
Wei Pengfei
Military Representative Office Stationed in 7103 Factory of CASC by the PLA,Xi'an 710100,China
Keywords:
genetic algorithmdamage-mitigating controlanalysis and synthesisliquid-propellant rocket engine
PACS:
V434
DOI:
-
Abstract:
Analysis and synthesis of the Damage-mitigating Control(DMC)law by applying the genetic algorithm for the Liquid-propellant Rocket Engine(LRE)are presented.The genetic algorithm can overcome the demerits of the classical optimizations in solving the DMC law,a typical multi-objective optimization,for the LRE.The related parameters with the genetic algorithm,such as coding scheme,population size,fitness function,constraints,selection operator,crossover operator and mutation operator,are clarified to analyze and synthesize the DMC law for the LRE in this paper. The feasible value domains of each parameter are obtained.The results indicate that the genetic algorithm is effective for analyzing and synthesizing the DMC law by employing the SPEA(Strength Pareto Evolutionary Algorithm).This paper is a methodology research for applying the intelligent technology to the DMC of the LRE.

References:

[1]Lorenzo C F,Walter C Merrill.Life Extending Control:A Concept Paper[R].NASA TM-104391,1991.
[2]Lorenzo,C F.Life Extending Control for Rocket Engines [R].NASA TM 105789,1992.
[3]魏鹏飞.可重复使用液体火箭发动机智能减损控制方法 研究[D].国防科学技术大学研究生院,2005,3.
[4]陈国良.遗传算法及其应用[M].北京:人民邮电出版社. 1996.
[5]David E Goldberg.Genetic Algorithms in Search,Optimiza tion and Machine Learning[M].Addison-Wesley Publishing, 1989.
[6]Cartwright H M,Mott G F.Looking Around:Using Clues from the Data Space to Guide Genetic Algorithm Searches [C].Proceedings of ICGA,1991.
[7]Eckart Zitzler.Evolutionary Algorithms for Multiobjective Optimization:Methods and Applications[D].A dissertation Submitted to the Swiss Federal Institute of Technology Zurich for the Degree of Doctor of Technical Sciences. 1999.

Memo

Memo:
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