Using Artificial Intelligence Approach to Estimate the Aircraft Performance Parameters

Abstract

In modern era, an aircraft experiences numerous adjustments during designing phase. The advent of new features has made the aircraft’s design process more complicated to make decision regarding selection of appropriate and parsimonious design. Artificial Intelligence (AI) is one such approach to tackle this issue and attain reliable and efficient approximation. AI is a learning-based program which mimics human intelligence. In AI, Machine Learning (ML) models can help us to select the best geometric parameters of the performance parameters at the time of design process. In this study, different ML models are used to predict the accuracy of performance parameters in the context of geometric parameters. These models are validated using the four steps process i.e. checking the value of Adjusted-R2, Root Mean Square Error, Mean Absolute Percentage Error and Nash-Sutcliffe Efficiency Coefficient. It was observed that a Neural Network Regression model is best to predict the aircraft’s performance parameter(s). Thus, AI holds a strong potential among aircraft design community during preliminary design phase