This article presents the results of studies of the interrelation between the parameters that characterize the psychophysiological state of the pilot and the quality index of piloting.To estimate the pilot’s state,si...This article presents the results of studies of the interrelation between the parameters that characterize the psychophysiological state of the pilot and the quality index of piloting.To estimate the pilot’s state,signals of various natures were used:deviations of the aircraft control stick in the pitch and roll channels,electroencephalograms,determination of emotional states,and analysis of blinking parameters from video images of the face.As quality index of piloting,vertical and horizontal deviations from the glide path line during landing approaches on the flight simulator were considered.Signal spectral densities,frequency coherence functions,and principal component analysis were used to process experimental data,and convolutional deep learning neural networks were used to analyze video images.As a result of the research,stable correlations were found between the index of piloting accuracy and such characteristics of the operator as the frequency coherence functions of the control signals,the ratio of the first and second principal components of the electroencephalogram signals,the number of emotional states,and the number of blinks.This newly found correlation between data of different nature is to be useful for pilot interface design.展开更多
The approaches to solving the problem of separate identification of thrust and drag force coefficient are discussed.For this purpose,the direct method of optimal control formation is used,and the types of flight maneu...The approaches to solving the problem of separate identification of thrust and drag force coefficient are discussed.For this purpose,the direct method of optimal control formation is used,and the types of flight maneuver are selected that allow improving the problem’s degree of conditionality.The complexity of the problem especially lies in the fact that,it is ill-conditioned due to the almost complete co-linearity between thrust and drag vectors at small angles of attack.The advantage of using the proposed approach in this paper is that it does not require the use of a thermodynamic model of the engine,which gives it versatility and relative simplicity.The results of the flight maneuver formation based on mathematical simulation data are presented.展开更多
Onboard measurement system,the function of which is to collect,record and process measurement information,performs these tasks by obtaining information from the sensors.However,the sensors are noisy,so it is necessary...Onboard measurement system,the function of which is to collect,record and process measurement information,performs these tasks by obtaining information from the sensors.However,the sensors are noisy,so it is necessary to combine multiple pieces of information to give a good accuracy to the signals provided by the onboard measurement system.The extended Kalman filter,which is one of the most widely used data fusion methods,is also one of the derivatives of the standard Kalman filter used for non-linear problems.On the other hand,the spline approximation,especially the cubic and Hermitian splines provide a very good and smooth estimate.It is known that the implementation of spline method is simpler than Kalman filtering.This paper describes an empirical comparative analysis of the extended Kalman filter and spline method.The impressive result is that a simple spline approximation in many cases performs better than a sophisticated Kalman filter.展开更多
基金supported by Russian Foundation for Basic Research(RFBR),project 20-08-0049.
文摘This article presents the results of studies of the interrelation between the parameters that characterize the psychophysiological state of the pilot and the quality index of piloting.To estimate the pilot’s state,signals of various natures were used:deviations of the aircraft control stick in the pitch and roll channels,electroencephalograms,determination of emotional states,and analysis of blinking parameters from video images of the face.As quality index of piloting,vertical and horizontal deviations from the glide path line during landing approaches on the flight simulator were considered.Signal spectral densities,frequency coherence functions,and principal component analysis were used to process experimental data,and convolutional deep learning neural networks were used to analyze video images.As a result of the research,stable correlations were found between the index of piloting accuracy and such characteristics of the operator as the frequency coherence functions of the control signals,the ratio of the first and second principal components of the electroencephalogram signals,the number of emotional states,and the number of blinks.This newly found correlation between data of different nature is to be useful for pilot interface design.
文摘The approaches to solving the problem of separate identification of thrust and drag force coefficient are discussed.For this purpose,the direct method of optimal control formation is used,and the types of flight maneuver are selected that allow improving the problem’s degree of conditionality.The complexity of the problem especially lies in the fact that,it is ill-conditioned due to the almost complete co-linearity between thrust and drag vectors at small angles of attack.The advantage of using the proposed approach in this paper is that it does not require the use of a thermodynamic model of the engine,which gives it versatility and relative simplicity.The results of the flight maneuver formation based on mathematical simulation data are presented.
基金supported by Russian Foundation for Fundamental Research,project 20-08-00449-a.
文摘Onboard measurement system,the function of which is to collect,record and process measurement information,performs these tasks by obtaining information from the sensors.However,the sensors are noisy,so it is necessary to combine multiple pieces of information to give a good accuracy to the signals provided by the onboard measurement system.The extended Kalman filter,which is one of the most widely used data fusion methods,is also one of the derivatives of the standard Kalman filter used for non-linear problems.On the other hand,the spline approximation,especially the cubic and Hermitian splines provide a very good and smooth estimate.It is known that the implementation of spline method is simpler than Kalman filtering.This paper describes an empirical comparative analysis of the extended Kalman filter and spline method.The impressive result is that a simple spline approximation in many cases performs better than a sophisticated Kalman filter.
