An efficient and flexible real-time guidance system is one of the critical needs in the development of a future reusable space transportation system. The genetic algorithm employs an optimization model called the evolution of life, which is generally considered numerically robust but involves an extremely high calculation cost. To reduce the cost, this paper proposes an efficient procedure that optimizes the coefficients of a set of prescribed input functions. In addition, to reduce the calculation time by more than one tenth, the optimization scheme is implemented on a field programmable gate array. The resultant optimization system is applied to an on-board guidance system that optimizes the trajectory of an experimental winged rocket in real time.

is developing a fully reusable sounding rocket named WIRES (WInged REusable Sounding rocket). The winged rocket incorporates many novel technologies, including a full composite structure and a navigation, guidance, and control system. It is also equipped with an innovative hybrid rocket engine named CAMUI (CAscaded MUltistage Impinging-jet). In such a complex rocket, system integration is difficult to achieve and innovation is imperative. The laboratory is therefore also developing a subscale model of the rocket named WIRES#014 to assess the new navigation, guidance, and control system. This paper describes the procedure and results of a trial and error approach, comprising three ground combustion tests, to integrating the systems of the rocket. In the first and second try of the combustion test, the tests had some troubles mainly about ground support system and avionics. Authors eliminated these errors after the cause analysis; the third combustion test was finally succeeded.

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