Abstract

The optimized system design methodology for multiple disciplines is presented. Taguchi techniques, fuzzy logic and neural networks are combined to develop a user-friendly design tool, which can perform fastoptimized multidisciplinary system designs and analyses. Taguchi techniques are used to identify the input factors or parameters that are significant to the output of a system. From the Taguchi analysis, parameter significance index is obtained. This index is then used in a fuzzy inference system to find the optimum solution with multiple design objectives. Then, a compromised optimum solution is obtained at the multidisciplinary system level where the design objectives of the system as a whole are considered. Neural Networks are built to provide fast mappings for analysis and design. The application of this design methodology to aircraft and propulsion systems show significant improvement in optimizing the design objectives, and in predicting the system output in real time within reasonable accuracy.

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