Abstract
The design of new Space Launch Vehicle (SLV) involves a full set of disciplines – propulsion, structural sizing, aerodynamics, mission analysis, flight control, stages layout – with strong interaction between each other. Since multidisciplinary design optimization of multistage launch vehicles is a complex and computationally expensive. An efficient Least Square Support Vector Regression (LS-SVR) technique is used for trajectory simulation of multistage space launch vehicle. This newly formulation problem-about 17 parameters, linked to both the architecture and the command (trajectory optimization), 8 constraints – is solved through hybrid optimization algorithm using Particle Swarm Optimization (PSO) as global optimizer and Sequential Quadratic Programming (SQP) as local optimizer starting from the solution given by (PSO). The objective is to find minimum gross launch weight (GLW) and optimal trajectory during launch maneuvering phase for liquid fueled space launch vehicle (SLV).The computational cost incurred is compared for two cases of conceptual design involving exact trajectory simulation and with Least Square Support Vector Regression based trajectory simulation.
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References
Martin, J., Alonso, J.J.: Complete Configuration Aero-Structural Optimization Using a Coupled Sensitivity Analysis Method. In: 9th AIAA/ISSMO, 2002–5402, Atlanta, GA (2002)
Tsuchiya, T., Mori, T.: Optimal Conceptual Design of Two-Stage Reusable Rocket Vehicles including Trajectory Optimization. Journal of Spacecrafts and Rockets 41 (2004)
Parsopoulos, K.E., Vrahatis, M.N.: Particle Swarm Optimization Method for Constrained Optimization Problems. University of Patras AI Research Center, GR-26110 Patras Greece
Akhtar, S., Linshu, H., Qazi, M.: Comparison of Pattern Search and Genetic Algorithm for Conceptual Design of Multi- Stage Liquid Rocket Missile. In: IFSA, pp. 1353–1359 (2005)
Venter, G., Sobieszczanski-Sobieski, J.: Multidisciplinary Optimization of a Transport Aircraft Wing using Particle Swarm Optimization. AIAA 2002–5644
Boggs, P.T., Tolle, J.W.: Sequential quadratic programming. Acta Numerica (1995)
Suykens, J.A.K., van Gestel, T., De Brabanter, J., De Moor, B., Vandewalle, J.: Least Squares Support Vector Machines. World Scientific, Singapore (2002)
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© 2005 Springer-Verlag Berlin Heidelberg
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Akhtar, S., Linshu, H. (2005). Support Vector Machine Based Trajectory Metamodel for Conceptual Design of Multi-stage Space Launch Vehicle. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_77
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DOI: https://doi.org/10.1007/11596448_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30818-8
Online ISBN: 978-3-540-31599-5
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