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

Chinese Journal of Aeronautics 2019年第12期32卷 2592-2611页

作者： Shuting XU Wenqian TAN Xiangju QU Cheng ZHANG School of Aeronautic Science and Engineering Beihang University

This paper proposes a method to predict nonlinear pilot-Induced Oscillation(PIO)using an intelligent human pilot *** method is based on a scalogram-based PIO metric,which uses wavelet transforms to analyze the nonlinear characteristics of a time-varying *** intelligent human pilot model includes three modules:perception module,decision and adaptive module,and execution *** 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 ***,an algorithm is proposed to describe the procedure of the PIO prediction method with nonlinear evaluation *** prediction results obtained by numerical simulation are compared with the assessments of flight test data to validate the utility of the *** flight test data were generated in the evaluation of the Smart-Cue/Smart-Gain,which is capable of reducing the PIO tendencies *** 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

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pilot time-varying control behavior modeling in refractory period with aircraft failures

引用

Science China(Technological Sciences) 2023年第7期66卷 2000-2012页

作者： XU ShuTing TAN WenQian WANG WeiJun SUN LiGuo School of Aeronautic Science and Engineering Beihang UniversityBeijing 100191China Jiangxi Research Institute of Beihang University Nanchang 330000China

modeling human pilot control behavior aims to understand and describe how humans control aircrafts and devices,to provide a foundation for the study of the dynamic characteristics of the human-vehicle *** the presence of aircraft failures,the human pilot has a control process of the refractory period,which may cause adverse aircraft-pilot couplings,and even lead to loss-of-control *** refractory period will make the pilot emerge with time-varying and adaptive *** paper investigates how pilot control behavior changes to adapt to the aircraft failure situation and develops a time-varying pilot model during the refractory *** aviation pilots performed a human-in-the-loop simulation experiment on a ground flight simulator to simulate the failure situations for a pitch-tracking *** characterize the pilot’s time-varying response mechanism,a time-frequency-spectrum method was used to analyze the pilot control *** innovations in the proposed model can be embodied in the description of the fuzziness,time-varying,and adaptation of the pilot for the failures in the refractory *** on fuzzy logic theory,the pilot’s judgment and identification of failures are *** adaptation of manual control behavior to time-varying aircraft dynamics is depicted by adaptive model ***-domain and time-frequency-spectrum analysis show that the simulation results of the pilot model are consistent with the human-in-the-loop experimental *** model simulation evaluations are within the range of the experimental evaluation,which shows the rationality of the timevarying behavior model of the human pilot in a failure refractory *** model has practical values for guiding the pilot to deal with abnormal conditions and predicting nonlinear aircraft-pilot couplings.

关键词： time-varying system human pilot model fuzzy control simulation aircraft-pilot couplings

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