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Paper Information

Journal:   INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING)   SUMMER 2007 , Volume 23 , Number 38; Page(s) 75 To 80.
 
Paper: 

FINDING OPTIMAL SATELLITE LAUNCH TRAJECTORIES USING THE LINEAR TANGENT GUIDANCE LAW

 
 
Author(s):  MARDANI M., MOUBED M.
 
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Abstract: 

The problem studied in this paper consists of the optimal launch of a satellite to a circular orbit of the earth. The effect of the air resistance is also taken into consideration. The equations of optimal launch are first derived and the main problem is converted to a Two-Point Boundary Value Problem (TPBVP). A set of state and co-state variables, corresponding to the ideal case of planar earth with no air resistance, i.e. the case in which the linear tangent guidance law is, in fact, optimal, is used as an initial guess, in order to solve the TPBVP using the shooting algorithm. A gradual or step-by-step introduction of the air resistance effect is shown to make the numerical computations converge, thus, alleviating the problems caused by the shooting algorithm's sensitivity to the initial guess. Simulations reveal that the proposed method also has a satisfactory speed of convergence.

 
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APA: Copy

MARDANI, M., & MOUBED, M. (2007). FINDING OPTIMAL SATELLITE LAUNCH TRAJECTORIES USING THE LINEAR TANGENT GUIDANCE LAW. INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING), 23(38), 75-80. https://www.sid.ir/en/journal/ViewPaper.aspx?id=101755



Vancouver: Copy

MARDANI M., MOUBED M.. FINDING OPTIMAL SATELLITE LAUNCH TRAJECTORIES USING THE LINEAR TANGENT GUIDANCE LAW. INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING). 2007 [cited 2021July30];23(38):75-80. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=101755



IEEE: Copy

MARDANI, M., MOUBED, M., 2007. FINDING OPTIMAL SATELLITE LAUNCH TRAJECTORIES USING THE LINEAR TANGENT GUIDANCE LAW. INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING), [online] 23(38), pp.75-80. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=101755.



 
 
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