Abstract
A nonlinear optimal re-entry temperature control problem is solved using single network adaptive critic (SNAC) technique. The nonlinear model developed and used accounts for conduction, convection and radiation at high temperature, represents the dynamics of heat transfer in a cooling fin for an object re-entering the earth's atmosphere. Simulation results demonstrate that the control synthesis technique presented is very effective in obtaining a desired temperature profile over a wide envelope of initial temperature distribution.
Recommended Citation
K. Grantham et al., "Modeling and Control of Re-Entry Heat Transfer Problem using Neural Networks," Proceedings of 2005 American Control Conference, Institute of Electrical and Electronics Engineers (IEEE), Jan 2005.
The definitive version is available at https://doi.org/10.1109/ACC.2005.1470045
Meeting Name
2005 American Control Conference
Department(s)
Engineering Management and Systems Engineering
Second Department
Mechanical and Aerospace Engineering
Keywords and Phrases
Single Network Adaptive Critic (SNAC); Convection; Cooling Fin; Earth's Atmosphere; Neural Networks; Radiation; Re-Entry Heat Transfer Problem; Temperature
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2005 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2005
