DocumentCode :
2336874
Title :
Influence on rocket fall points distribution due to random wind
Author :
Yao, Jun ; Wang, Xin ; Li, Junmiao
Author_Institution :
Shenyang Ligong Univ., Shenyang, China
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
1860
Lastpage :
1863
Abstract :
Random wind is one of the important factors causing rocket fall points distribution. For the large and complex system, it is difficult to analyze the reliability using the analytic methods, but the computer simulation is an effective way. In this paper, simulation for flight control system is studied in detail by considering wind as typical random process. The engineered model of wind is established and randomized. While establishing the dynamics equations of the rocket´s passive trajectory, theoretic analysis has been carried out using the traditional statistical analysis approach-Monte-Carlo method in order to simulate fall points distribution and predict rocket impact point under random wind. Through simulation, the effect results of all parameters characterizing the nature of wind on rocket fall points distribution are obtained and effect of wind on the rocket fall points distribution is analyzed effectively. This provides the experiment data for increasing the firing accuracy of the rocket in order to decrease the fall points distribution of the rocket and correct trajectory. The results of this paper provide some theoretic reference for trajectory design.
Keywords :
aerodynamics; aerospace control; position control; rockets; wind; Monte-Carlo method; flight control system simulation; random wind; rocket fall point distribution; rocket passive trajectory dynamics equations; Aerospace control; Aerospace engineering; Aerospace simulation; Analytical models; Computational modeling; Computer simulation; Equations; Random processes; Reliability engineering; Rockets; Monte-Carlo method; random wind; rocket; shell distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138520
Filename :
5138520
Link To Document :
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