Prediction of nonlinear pilot-induced oscillation using an intelligent human pilot model  

作　　者：Shuting XU Wenqian TAN Xiangju QU Cheng ZHANG 

机构地区：[1]School of Aeronautic Science and Engineering, Beihang University

出　　处：《Chinese Journal of Aeronautics》2019年第12期2592-2611,共20页中国航空学报（英文版）

基　　金：co-supported by the National Natural Science Foundation of China (No. 11502008);the Aeronautical Science Foundation of China (No. 2017ZA51002)

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 flight test data to validate the utility of the method.The flight 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.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.

关 键 词：Pilot-induced oscillation Human pilot model Flight simulation Human-vehicle system Nonlinear system 

分 类 号：V323[航空宇航科学与技术—人机与环境工程]