Launch 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.
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November 2008
Research Papers
Model Predictive Control of a Direct Fire Projectile Equipped With Canards
Douglas Ollerenshaw,
Douglas Ollerenshaw
Graduate Research Assistant
Department of Mechanical Engineering,
Oregon State University
, Corvallis, OR 97331
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Mark Costello
Mark Costello
Associate Professor
Mem. ASME
School of Aerospace Engineering,
Georgia Institute Of Technology
, Atlanta, GA 30327
Search for other works by this author on:
Douglas Ollerenshaw
Graduate Research Assistant
Department of Mechanical Engineering,
Oregon State University
, Corvallis, OR 97331
Mark Costello
Associate Professor
Mem. ASME
School of Aerospace Engineering,
Georgia Institute Of Technology
, Atlanta, GA 30327J. Dyn. Sys., Meas., Control. Nov 2008, 130(6): 061010 (11 pages)
Published Online: October 1, 2008
Article history
Received:
September 12, 2004
Revised:
March 13, 2008
Published:
October 1, 2008
Citation
Ollerenshaw, D., and Costello, M. (October 1, 2008). "Model Predictive Control of a Direct Fire Projectile Equipped With Canards." ASME. J. Dyn. Sys., Meas., Control. November 2008; 130(6): 061010. https://doi.org/10.1115/1.2957624
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