To optimize the third stage of a space launch vehicle, powered by Liquid Rocket Engine (LRE) and also to optimize the fuel efficiency by varying injection pressure and gravity turn. The space launch vehicle trajectory is designed analytically by using the general governing equations of the rocket. These trajectories are solved with the implementation of the genetic algorithm. The trajectories are designed and simulated with the commercial software MATLAB, furthermore the relation between parameters and generate MATLAB Coding to simulate the trajectory of the vehicle at 3rd stage. The governing equations are solved using Chebyshev polynomials subroutine and Lagrange polynomial equation available in MATLAB software. The variation of velocity, specific impulse, time is plotted for different parameter (injection pressure) values of the spacecraft
K GOPINATH. (2017). Optimization of the 3rd Stage Rocket Trajectory Using Genetic Algorithm. International Journal of Computer Engineering In Research Trends, 4(6), 263-268. Retrieved from http://ijcert.org/ems/ijcert_papers/V4I6010.pdf
Keywords : 3rd Stage Rocket Trajectory Using Genetic Algorithm
and space craft propulsion by
Martin J.L.Turner, states the information
about the above parameters1.
Trajectory Optimization for Target
Localization,Sameera S. Ponda
A simplified ascent trajectory optimization
procedure has been developed with
application of Ares I launch vehicle2.
Direct Trajectory Optimization by a
ChebyshevPseudospectral Method, journal
ofguidance, control, and dynamics Vol. 25,
No. 1, January–February 20023.
Fahroo, F., and Ross, I. M., “Costate
Estimation by a Legendre Pseudospectral
Method,” Journal of Guidance, Control, and
Dynamics, Vol. 24,No. 2, 2001, pp. 270–277.
Survey of Numerical Methods for
Trajectory Optimizationby John T. Betts
journal of guidance, control, and dynamics,
Vol. 21, No. 2, March–April 1998.
A chebyshev polynomial method for
optimal control with state
a, vol. 24, no. 4, pp. 499-506, 19884.
Space trajectory optimization and l1-
optimalcontrol problems, michael ross,
modern astrodynamics, pp. 155-
188,elsevierastrodynamics series, 20065.
A genetic algorithm approach to solving
optimal control problems with linearly
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