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Re-entry Test Vehicle Configuration Selection and Analysis

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Space Engineering

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 114))

Abstract

A small and low-cost re-entry vehicle can be a good means for doing hypersonic research, testing new heat-resistant materials, and qualifying newly developed subsystems in a realistic environment. To establish the optimal vehicle shape a response-surface methodology using design-of-experiments techniques is proposed. With these techniques the effects of changing several geometric design parameters in an ‘all-at-the-same-time’ approach can be studied, instead of the more traditional ‘one-at-a-time’ approach. Each of the design iterations includes an aerodynamic analysis based on the Modified Newtonian method and a three-degrees-of-freedom trajectory analysis. Generating response surfaces for each of the performance indices and optimising them with a multi-objective optimisation method, a set of geometric parameters is found that gives the best alternative for each of the performance indices. Two fundamentally different vehicle shapes are considered, i.e., one based on a trapezoidal cross section and a sharp, water-cooled nose, for an increased lift-to-drag ratio, and one being a blunted bi-cone that is simple to manufacture, has good stability properties and good potentials for various aerodynamic and material experiments. The developed methodology leads to significant insight in the design space and provides sub-optimal vehicle shapes at a limited computational cost. It may serve as a good starting point for more detailed analysis of a sub-region of the original design space.

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Notes

  1. 1.

    In fact, this could apply to the design of any complex (sub-)system and could be extended to detailed design as well.

  2. 2.

    Variation of k parameters with two (three) possible values, also called levels, results in a total of 2k (3k) combinations.

  3. 3.

    A rotatable design is the most effective from a variance point-of-view, and all points at the same radial distance from the center point have the same magnitude of prediction error (uniformity of variance).

  4. 4.

    To test the characteristics of a flap in the hypersonic flow, the Mach number should be larger than 5 at an altitude of about 60 km (typical re-entry trajectory).

  5. 5.

    The flight-dynamics model has been developed for a rotating, flattened Earth; the atmosphere model is the United States Standard Atmosphere (1976), and the gravitational model is a central field model with a correction for the Earth’s flattening.

  6. 6.

    The VS-40 has been successfully used to launch SHEFEX-2, a DLR-operated re-entry vehicle for hypersonic flight experiments [29].

  7. 7.

    We have assumed that each vehicle can be trimmed throughout the flight. Verification of this has shown that by shifting the centre of mass more or less in Z-direction (vertical) this can indeed be achieved. At the moment we do not focus on optimizing the centre-of-mass location, and because the flap contribution to the aerodynamics is in the same range for each configuration, we have ignored this.

  8. 8.

    The algorithm used is one of the local-search methods implemented in the Matlab®;  Optimization Toolbox.

  9. 9.

    This module is also known as DART, which stands for Delft Aerospace Re-entry Test Vehicle [3].

  10. 10.

    The remaining initial conditions (longitude τ, latitude δ, and heading χ) at the atmospheric interface are (arbitrarily) defined to be: τ = δ = 0, and χ = 90 to define an equatorial re-entry.

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Acknowledgements

The past and present cooperation and many fruitful discussions with Kees Sudmeijer and Frans Kremer is gratefully acknowledged. Without them the outcome would probably have been different, and for sure far less enjoyable. Thank you!

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Correspondence to Erwin Mooij .

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Mooij, E. (2016). Re-entry Test Vehicle Configuration Selection and Analysis. In: Fasano, G., Pintér, J.D. (eds) Space Engineering. Springer Optimization and Its Applications, vol 114. Springer, Cham. https://doi.org/10.1007/978-3-319-41508-6_8

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