Determination of optimal trajectory under design constraints for a satellite launch vehicle


Autoria(s): Shrivastava, Shashi Kant; Reddy, Narayan M
Data(s)

01/05/1976

Resumo

An optimal pitch steering programme of a solid-fuel satellite launch vehicle to maximize either (1) the injection velocity at a given altitude, or (2) the size of circular orbit, for a given payload is presented. The two-dimensional model includes the rotation of atmosphere with the Earth, the vehicle's lift and drag, variation of thrust with time and altitude, inverse-square gravitational field, and the specified initial vertical take-off. The inequality constraints on the aerodynamic load, control force, and turning rates are also imposed. Using the properties of the central force motion the terminal constraint conditions at coast apogee are transferred to the penultimate stage burnout. Such a transformation converts a time-free problem into a time-fixed one, reduces the number of terminal constraints, improves accuracy, besides demanding less computer memory and time. The adjoint equations are developed in a compact matrix form. The problem is solved on an IBM 360/44 computer using a steepest ascent algorithm. An illustrative analysis of a typical launch vehicle establishes the speed of convergence, and accuracy and applicability of the algorithm.

Formato

application/pdf

Identificador

http://eprints.iisc.ernet.in/24324/1/article1.pdf

Shrivastava, Shashi Kant and Reddy, Narayan M (1976) Determination of optimal trajectory under design constraints for a satellite launch vehicle. In: Acta Astronautica, 3 (5-6). pp. 333-347.

Publicador

Elservier Science Ltd.

Relação

http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V1N-4811N8N-RX&_user=512776&_rdoc=1&_fmt=&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000025298&_version=1&_urlVersion=0&_userid=512776&md5=b53074bcfc24e01ffe2401066dc3019f

http://eprints.iisc.ernet.in/24324/

Palavras-Chave #Aerospace Engineering (Formerly, Aeronautical Engineering)
Tipo

Journal Article

PeerReviewed