论文摘要
This paper proposes a method to predict nonlinear Pilot-Induced Oscillation（PIO） using an intelligent human pilot model. This method is based on a scalogram-based PIO metric, which uses wavelet transforms to analyze the nonlinear characteristics of a time-varying system. The intelligent human pilot model includes three modules: perception module, decision and adaptive module, and execution module. Intelligent and adaptive features, including a neural network receptor,fuzzy decision and adaptation, are also introduced into the human pilot model to describe the behavior of the human pilot accommodating the nonlinear events. Furthermore, an algorithm is proposed to describe the procedure of the PIO prediction method with nonlinear evaluation cases.The prediction results obtained by numerical simulation are compared with the assessments of ?ight test data to validate the utility of the method. The ?ight test data were generated in the evaluation of the Smart-Cue/Smart-Gain, which is capable of reducing the PIO tendencies considerably. The results show that the method can be applied to predict the nonlinear PIO events by human pilot model simulation.
论文目录
文章来源
类型: 期刊论文
作者: Shuting XU,Wenqian TAN,Xiangju QU,Cheng ZHANG
来源: Chinese Journal of Aeronautics 2019年12期
年度: 2019
分类: 工程科技Ⅱ辑
专业: 航空航天科学与工程
单位: School of Aeronautic Science and Engineering, Beihang University
基金: co-supported by the National Natural Science Foundation of China (No. 11502008),the Aeronautical Science Foundation of China (No. 2017ZA51002)
分类号: V323
页码: 2592-2611
总页数: 20
文件大小: 5552K
下载量: 18