Modeling Pilot Control Behavior with Sudden Changes in Vehicle Dynamics
A pursuit tracking model of the human pilot adapting to sudden changes in vehicle dynamics is developed and exercised. The current model is based upon a simplified representation of the human pilot in multi-axis tasks previously reported in the literature. A key feature of the adaptive model is the...
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Veröffentlicht in: | Journal of aircraft 2009-09, Vol.46 (5), p.1584-1592 |
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description | A pursuit tracking model of the human pilot adapting to sudden changes in vehicle dynamics is developed and exercised. The current model is based upon a simplified representation of the human pilot in multi-axis tasks previously reported in the literature. A key feature of the adaptive model is the simplicity afforded by only varying two gain parameters in each control loop to accommodate pilot adaptation. The model is first exercised in a single-loop task in which the controlled element dynamics are changed from rate command to acceleration command (with time delay), back to rate command, and finally, to position command. A second example applies the model to a simple two-axis task (two control inceptors) in which the controlled element dynamics in both control loops are changed simultaneously. The model employed for sudden changes in vehicle dynamics is also applied to a single-axis task in which the controlled element dynamics change gradually over a 10 s period. Finally, longitudinal control of a simplified model of a fighter aircraft undergoing sudden damage is considered. [PUBLICATION ABSTRACT] |
doi_str_mv | 10.2514/1.41215 |
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The current model is based upon a simplified representation of the human pilot in multi-axis tasks previously reported in the literature. A key feature of the adaptive model is the simplicity afforded by only varying two gain parameters in each control loop to accommodate pilot adaptation. The model is first exercised in a single-loop task in which the controlled element dynamics are changed from rate command to acceleration command (with time delay), back to rate command, and finally, to position command. A second example applies the model to a simple two-axis task (two control inceptors) in which the controlled element dynamics in both control loops are changed simultaneously. The model employed for sudden changes in vehicle dynamics is also applied to a single-axis task in which the controlled element dynamics change gradually over a 10 s period. Finally, longitudinal control of a simplified model of a fighter aircraft undergoing sudden damage is considered. [PUBLICATION ABSTRACT]</description><identifier>ISSN: 0021-8669</identifier><identifier>EISSN: 1533-3868</identifier><identifier>DOI: 10.2514/1.41215</identifier><identifier>CODEN: JAIRAM</identifier><language>eng</language><publisher>Reston, VA: American Institute of Aeronautics and Astronautics</publisher><subject>Adaptation ; Aircraft ; Applied psychology ; Applied sciences ; Biological and medical sciences ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Control systems ; Control theory ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; Mathematical models ; Pilots ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Software ; Transportation. 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The current model is based upon a simplified representation of the human pilot in multi-axis tasks previously reported in the literature. A key feature of the adaptive model is the simplicity afforded by only varying two gain parameters in each control loop to accommodate pilot adaptation. The model is first exercised in a single-loop task in which the controlled element dynamics are changed from rate command to acceleration command (with time delay), back to rate command, and finally, to position command. A second example applies the model to a simple two-axis task (two control inceptors) in which the controlled element dynamics in both control loops are changed simultaneously. The model employed for sudden changes in vehicle dynamics is also applied to a single-axis task in which the controlled element dynamics change gradually over a 10 s period. Finally, longitudinal control of a simplified model of a fighter aircraft undergoing sudden damage is considered. [PUBLICATION ABSTRACT]</description><subject>Adaptation</subject><subject>Aircraft</subject><subject>Applied psychology</subject><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Control systems</subject><subject>Control theory</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Mathematical models</subject><subject>Pilots</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Software</subject><subject>Transportation. 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User interface</topic><topic>Control systems</topic><topic>Control theory</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Mathematical models</topic><topic>Pilots</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Software</topic><topic>Transportation. City planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hess, Ronald A</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of aircraft</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hess, Ronald A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling Pilot Control Behavior with Sudden Changes in Vehicle Dynamics</atitle><jtitle>Journal of aircraft</jtitle><date>2009-09-01</date><risdate>2009</risdate><volume>46</volume><issue>5</issue><spage>1584</spage><epage>1592</epage><pages>1584-1592</pages><issn>0021-8669</issn><eissn>1533-3868</eissn><coden>JAIRAM</coden><abstract>A pursuit tracking model of the human pilot adapting to sudden changes in vehicle dynamics is developed and exercised. The current model is based upon a simplified representation of the human pilot in multi-axis tasks previously reported in the literature. A key feature of the adaptive model is the simplicity afforded by only varying two gain parameters in each control loop to accommodate pilot adaptation. The model is first exercised in a single-loop task in which the controlled element dynamics are changed from rate command to acceleration command (with time delay), back to rate command, and finally, to position command. A second example applies the model to a simple two-axis task (two control inceptors) in which the controlled element dynamics in both control loops are changed simultaneously. The model employed for sudden changes in vehicle dynamics is also applied to a single-axis task in which the controlled element dynamics change gradually over a 10 s period. Finally, longitudinal control of a simplified model of a fighter aircraft undergoing sudden damage is considered. 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subjects | Adaptation Aircraft Applied psychology Applied sciences Biological and medical sciences Computer science control theory systems Computer systems and distributed systems. User interface Control systems Control theory Exact sciences and technology Fundamental and applied biological sciences. Psychology Mathematical models Pilots Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Software Transportation. City planning |
title | Modeling Pilot Control Behavior with Sudden Changes in Vehicle Dynamics |
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