Reentry Vehicle Aerodynamic Layout Intelligent Optimal Design Method

The optimization design of aerodynamic shape for reentry vehicles (ASRV) is a design problem of the complex engineering system, which often involves several subsystems and various parameters. With traditional optimization methods, it is inefficient to solve, and even difficult to get an optimal design. To eliminate these described difficulties, this paper has developed an intelligentized optimization method.This paper presents an advance intelligentized optimization design system (IODS) for the optimization design of ASRV, which integrates traditional numeric optimization methods and deduction strategy that has been applied in Expert System. With C++ language, IODS is composed of traditional optimization methods, Knowledge Base, Inference Machine, Knowledge Acquisition and graphic user interface (GUI) in Windows 2000. This integrated synthesis system performs the intelligentized optimization design for ASRV, including the following items: production deduction strategy, knowledge handling technology, traditional optimization methods, evolutionary algorithms and the object-oriented strategy.IODS employs a number of rules in the knowledge base to establish an initial design and then chooses an appropriate optimization algorithm for the optimization problem according to its characters described with knowledge. While completing optimization, IODS evaluates the current design and determines whether redesigning or outputting the results. With the presented strategy, it is possible to shorten design periods and enhance efficiency. Finally, the aerodynamic shape optimization design examples for three kinds of reentry vehicles are implemented, which involve a reentry vehicle with cruciform flaps, a variable-bend reentry vehicle and a crew transfer vehicle. The optimization results verify the effectiveness, the validity and the practicability of this method presented in the paper.