The effects of a moving component on the motion of a 20-mm projectile

Cobb, K.K.; Whyte, Robert H.; Laird, P. K.

doi:10.2514/6.1980-428

“…Equations 7and (8) are based on Mach number-dependent coefficients, the aerodynamic angles of attack given in Eqs. (9) and (10), and the total aerodynamic velocity given in Eq. (11) as follows:…”

Section: Projectile Dynamic Modelmentioning

confidence: 99%

Modified Projectile Linear Theory for Rapid Trajectory Prediction

Hainz

¹

,

Costello

²

2005

Journal of Guidance, Control, and Dynamics

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“…The simplified dynamic equations and their resulting solutions have become known as projectile linear theory. Projectile linear theory has been extended by various authors to handle more sophisticated aerodynamic models (8), asymmetric mass properties (9), fluid payloads (10,11), moving internal parts (12,13), dual spin projectiles (14,15), ascending flight (16), and lateral force impulses (17)(18)(19)(20). Aerodynamic range reduction software used in spark range facilities utilizes projectile linear theory in estimation of aerodynamic coefficients.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control of a Direct Fire Projectile Equipped With Canards

Ollerenshaw

¹

,

Costello

²

2008

Journal of Dynamic Systems, Measurement, and Control

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY) March 20052. REPORT TYPE AUTHOR(S)Douglas Ollerenshaw * and Mark Costello † 5f. WORK UNIT NUMBER PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)Department of Mechanical Engineering Oregon State University Corvallis, OR 97331 PERFORMING ORGANIZATION REPORT NUMBER SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) U.S. Army Research Laboratory ATTN: AMSRD-ARL-WM-BC Aberdeen Proving Ground, MD 21005-5066 SPONSOR/MONITOR'S REPORT NUMBER(S)ARL-CR-558 DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution is unlimited.13. SUPPLEMENTARY NOTES * Graduate research assistant † Associate professor, member ASME ABSTRACTLaunch uncertainties in uncontrolled direct-fire projectiles can lead to significant impact point dispersion, even at relatively short range. A model predictive control scheme for direct-fire projectiles is investigated to reduce impact point dispersion.The control law depends on projectile linear theory to create an approximate linear model of the projectile and quickly predict states into the future. Control inputs are based on minimization of the error between predicted projectile states and a desired trajectory leading to the target. Through simulation, the control law is shown to work well in reducing projectile impact point dispersion. Parametric trade studies on an example projectile configuration are reported that detail the effect of prediction horizon length, gain settings, model update interval, and model step size. iii

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“…The simplified dynamic equations and their resulting solutions have become known as projectile linear theory. Projectile linear theory has been extended by various authors to handle more sophisticated aerodynamic models (8), asymmetric mass properties (9), fluid payloads (10,11), moving internal parts (12,13), dual spin projectiles (14,15), ascending flight (16), and lateral force impulses (17)(18)(19)(20). Aerodynamic range reduction software used in spark range facilities utilizes projectile linear theory in estimation of aerodynamic coefficients.…”

Section: Introductionmentioning

confidence: 99%

Model of Predictive Control of a Direct-Fire Projectile Equipped With Canards

Ollerenshaw¹,

Costello²

2005

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY) March 20052. REPORT TYPE AUTHOR(S)Douglas Ollerenshaw * and Mark Costello † 5f. WORK UNIT NUMBER PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)Department of Mechanical Engineering Oregon State University Corvallis, OR 97331 PERFORMING ORGANIZATION REPORT NUMBER SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) U.S. Army Research Laboratory ATTN: AMSRD-ARL-WM-BC Aberdeen Proving Ground, MD 21005-5066 SPONSOR/MONITOR'S REPORT NUMBER(S)ARL-CR-558 DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution is unlimited.13. SUPPLEMENTARY NOTES * Graduate research assistant † Associate professor, member ASME ABSTRACTLaunch uncertainties in uncontrolled direct-fire projectiles can lead to significant impact point dispersion, even at relatively short range. A model predictive control scheme for direct-fire projectiles is investigated to reduce impact point dispersion.The control law depends on projectile linear theory to create an approximate linear model of the projectile and quickly predict states into the future. Control inputs are based on minimization of the error between predicted projectile states and a desired trajectory leading to the target. Through simulation, the control law is shown to work well in reducing projectile impact point dispersion. Parametric trade studies on an example projectile configuration are reported that detail the effect of prediction horizon length, gain settings, model update interval, and model step size. iii

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The effects of a moving component on the motion of a 20-mm projectile

Cited by 4 publications

References 2 publications

Modified Projectile Linear Theory for Rapid Trajectory Prediction

Modified Projectile Linear Theory for Rapid Trajectory Prediction

Model Predictive Control of a Direct Fire Projectile Equipped With Canards

Model of Predictive Control of a Direct-Fire Projectile Equipped With Canards

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