The invention discloses a flight test platform air rudder optimization method based on a particle swarm optimization algorithm, and the method comprises the steps: constructing a geometric design model of an air rudder through a parameterization design method, and constructing a nonlinear function relation between geometric design parameters and performance parameters through employing a neural network agent model on this basis, and finally, realizing air rudder optimization design of the flight platform by applying a particle swarm algorithm. According to the method, the design accuracy is improved to a great extent, convenience is brought to subsequent optimization design, and the global optimization process within the design range is truly realized.
本发明公开了一种基于粒子群算法的飞行试验平台空气舵优化方法,应用参数化设计方法构建空气舵的几何设计模型,在此基础上应用采用神经网络代理模型构建几何设计参数与性能参数之间的非线性函数关系,最后应用粒子群算法实现飞行平台的空气舵优化设计。本发明很大程度上提升了设计的准确性,为后续优化设计带来便利,真正实现设计范围内的全局优化过程。
Flight test platform air rudder optimization method based on particle swarm optimization
一种基于粒子群算法的飞行试验平台空气舵优化方法
2024-02-20
Patent
Elektronische Ressource
Chinesisch
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B64C AEROPLANES , Flugzeuge / B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
Double Flight-Modes Particle Swarm Optimization
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