A Fast Approach to Multi-Stage Launch Vehicle Trajectory Optimization

2003 ◽  
Author(s):  
Isaac Ross ◽  
Christopher D'Souza ◽  
Fariba Fahroo ◽  
Jim Ross
Keyword(s):  
Trajectory Optimization ◽  
Launch Vehicle ◽  
Fast Approach ◽  
Multi Stage ◽  
Vehicle Trajectory

scholarly journals Three-dimensional trajectory optimization for multi-stage launch vehicle mission using a full-space quasi-Lagrange–Newton method

2019 ◽  
Vol 60 ◽  
pp. C172-C186
Author(s):  
Feng-Nan Hwang
Keyword(s):  
Trajectory Optimization ◽  
Optimal Trajectory ◽  
Numerical Solutions ◽  
Optimization Problems ◽  
Three Dimensional ◽  
Launch Vehicle ◽  
Industrial Applications ◽  
Collocation Methods ◽  
Dynamics Simulation ◽  
Multi Stage

Many aerospace industrial applications require robust and efficient numerical solutions of large sparse nonlinear constrained parameter optimization problems arising from optimal trajectory problems. A three-dimensional multistage launcher problem is taken as a numerical example for studying the performance and applicability of the full-space Lagrange–Newton–Krylov method. The typical optimal trajectory, control history and other important physical qualities are presented, and the efficiency of the algorithm is also investigated. References J. T. Betts. Practical methods for optimal control and estimation using nonlinear programming. Advances in Design and Control. SIAM, 2nd edition, 2010. doi:10.1137/1.9780898718577. R. T. Marler and J. S. Arora. Survey of multi-objective optimization methods for engineering. Struct. Multidiscip. Opt., 26(6):369395, 2004. doi:10.1007/s00158-003-0368-6. W. Roh and Y. Kim. Trajectory optimization for a multi-stage launch vehicle using time finite element and direct collocation methods. Eng. Opt., 34:1532, 2002. doi:10.1080/03052150210912. G. D. Silveira and V. Carrara. A six degrees-of-freedom flight dynamics simulation tool of launch vehicles. J. Aero. Tech. Manag., 7:231239, 2015. doi:10.5028/jatm.v7i2.433. H.-H. Wang, Y.-S. Lo, F.-T. Hwang, and F.-N. Hwang. A full-space quasi-LagrangeNewtonKrylov algorithm for trajectory optimization problems. Electron. T. Numer. Anal., 49:103125, 2018. doi:10.1553/etna_vol49s103. H. Yang, F.-N. Hwang, and X.-C. Cai. Nonlinear preconditioning techniques for full-space Lagrange-Newton solution of PDE-constrained optimization problems. SIAM J. Sci. Comput., 38:A2756A2778, 2016. doi:10.1137/15M104075X.

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