Robust constraint backstepping control for high-performance aircraft with account of unsteady aerodynamic effects

Author(s):  
Chijun Zhou ◽  
Jihong Zhu ◽  
Humin Lei ◽  
Xiaming Yuan ◽  
Wufan Wang
1971 ◽  
Vol 33 (3_suppl) ◽  
pp. 1335-1342 ◽  
Author(s):  
Daniel Gopher ◽  
Daniel Kahneman

A dichotic listening test was constructed which requires S to monitor a relevant message and to ignore a concurrent message presented to the other ear. The test has promising validity for predicting different criteria of proficiency in flying high-performance aircraft. An analysis of the most valid type of errors suggests that a change in an existing orientation is accompanied by a transient instability of selective attention. Most errors in continuous attention are omissions, which indicate a failure of the listening set. Intrusions, which indicate a failure of selectivity, are rare and their frequency is not correlated to flight criteria.


Ergonomics ◽  
1979 ◽  
Vol 22 (5) ◽  
pp. 549-555 ◽  
Author(s):  
SARAH A. NUNNELEY ◽  
PATRICK J. DOWD ◽  
LOREN G. MYHRE ◽  
RICHARD F. STRIBLEY ◽  
RICHARD C. MCNEE

2021 ◽  
Vol 186 (Supplement_1) ◽  
pp. 198-204
Author(s):  
Shawnna M Chee ◽  
Veronica E Bigornia ◽  
Daniel L Logsdon

ABSTRACT Introduction The CogScreen-Aeromedical Edition (CogScreen-AE) is a computerized neurocognitive assessment screening tool developed for the Federal Aviation Administration as a rapid, reliable means of measuring neurocognitive deficiency in civilian airline pilots. This has potential use and assessment of military aviators flying high performance aircraft under extreme conditions; however, no data exist on how the dynamic flight environment affects CogScreen-AE scores. The objectives of this study were to determine what changes in performance on CogScreen-AE scores are seen post-flight in Naval Aviators flying high performance aircraft and to determine the potential for use of CogScreen-AE as a screening tool to evaluate degree of impairment, recovery from neurological illness, and return to duty status of a military aviator. Materials and Methods Repeated measures, within-subjects experimental design with three CogScreen-AE administrations—introduction session, preflight session, and postflight session. An experimental study group was exposed to dynamic flight between preflight and postflight sessions, while a control group flew a desktop computer flight simulator between sessions. Data were analyzed by mixed model ANOVA using Statistical Package for the Social Sciences to compare CogScreen-AE pre- and postflight performance on 5 composite scores of variables that account for 45% of the variance in predicting flight performance. Results Preflight versus postflight scores demonstrated no significant differences in performance attributable to flight in high performance aircraft. Conclusions The CogScreen-AE performance is shown to be consistent preflight to post-flight. These data show that CogScreen-AE may be a reliable clinical instrument for assessing aviators’ cognitive function with regard to return to flight duty decision-making. We anticipate future work in determining how CogScreen-AE can be utilized in the operational environment and documenting recovery from neurologic illness.


2018 ◽  
Vol 3 (3) ◽  
pp. 133-142
Author(s):  
Abderrahmen KIRAD ◽  
Said Grouni ◽  
Omar MECHALI

This paper presents a nonlinear backstepping control strategy used to ensure good dynamic behavior, high performance and the stability of the permanent magnet synchronous motor (PMSM). However, this control requires the precise knowledge of certain variables (speed, torque and position) that are difficult to access or sensors require additional mounting space, reduce reliability, increase the cost of the engine, and make maintenance difficult. Thus, an Extended Kalman Filter (EKF) approach is proposed for the estimation of speed and rotor position in the PMSM. The interesting simulation results obtained which are subjected to the load perturbation show very well the efficiency and the good performance of the nonlinear feedback control proposed and simulated in Matlab-Simulink.


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