The Complex Approach to Optimization of STS Parameters on the Maximum Principle Basis

Paper number

IAC-08.D2.10.7

Author

Mr. Alexander Golikov, Central Aero-HydroDynamic Institute, Russia

Coauthor

Prof. Alexander Filatyev, Central Aero-HydroDynamic Institute, Russia

Year

2008

Abstract

It is possible to expect a qualitative growth in the efficiency of design of Space Transportation Systems (STS) in the nearest perspective owing to integration of modern profound developments in the models and methods accumulated by each of aerospace discipline, and concentration for the solution of the main (target) problem, for which STS are created.

    For this purpose the new approach to the complex optimization of STS parameters by the target criterion is proposed in view of requirements of aerodynamics, strength and control. The approach is based on the idea of the local decomposition of an initial problem into monodisciplinary subtasks with special Local Distributed Criteria (LDC) for each discipline. The peculiarity of the approach consists in a way of setting these criteria: they are formed objectively, on the one hand, for each monodisciplinary problem to ensure an independent output to the unified target criterion (for example, the maximum payload mass), and, on the other hand, to allow taking into account the specific contribution of all flight phases.

    The regular method of LDC formation is described on the basis of sensitivity functions. These functions derived through the transformation of conjugate variables and Lagrange multipliers obtained from the rigorous solution of the STS trajectory optimization problem by the target criterion with the use of the Pontryagin maximum principle. The decomposition technique allows organizing the interaction of specialists in different disciplines with the use of remote access computer systems.

    For example, the approach enables to reveal reserves of expansion of permissible control area owing to more precise description of constraints on control and flight regimes provided by a detailed analysis of structure loads, and, as a result, to increase the injected payload mass.

    Extensive opportunities of the designed approach and the corresponding automated program complex are demonstrated with examples of classical ballistic and air-based STS. Qualitatively new solutions are demonstrated both in the field of multidisciplinary optimization and in separate disciplines. 

Abstract document

IAC-08.D2.10.7.pdf

Manuscript document

IAC-08.D2.10.7.pdf (🔒 authorized access only).

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