Research on intelligent optimal design method of wind tunnel test scheme

Advanced aircraft research requires rapid acquisition of correct-key data on the aerodynamic shape. The development of our country's aerospace equipment has gradually entered a stage of independent innovation. The exploration, innovation, and optimization of the aerodyna-mic design for a new generation of aircraft need to be supported by matching wind tunnel test capabilities. The development trend of high-performance and high-precision advanced aircraft has put forward higher requirements on the “quantity” and “quality” of wind tunnel test data, which means the design of traditional wind tunnel test schemes and data analysis modes have become increasingly unsatisfactory. It is necessary to make breakthroughs in wind tunnel test design and test data analysis technology. Based on aircraft ground test analysis, this paper uses the support vector machine（SVM） to model and analyze the test data, develop wind tunnel test plan optimization, design methods and test data intelligent analysis methods, and explore the new internal correlation between the aerodynamic data and aircraft geometric parameters. Building a wind tunnel test auxiliary design and analysis system to improve the efficiency of wind tunnel test and the accuracy of test data provides technical support for the aerodynamic design of high-performance aircraft.