TY - GEN
T1 - Application of enthalpy-based feedback control methodology to the two-sided stefan problem
AU - Petrus, Bryan
AU - Bentsman, Joseph
AU - Thomas, Brian
PY - 2014
Y1 - 2014
N2 - In [1], the authors introduced a novel control law for the single-phase Stefan problem, a nonlinear partial differential equation, with the eventual goal of applying the result to control of cooling in continuous steel casting. In this paper, the previously published method of controlling the Stefan problem is extended in two key ways that improve the fidelity of the nonlinear PDE as a model of the temperature and solidification of continuous steel casters. First, a non-symmetric temperature distribution is allowed, in which separate Neumann boundary control is applied at either surface. Two convergent control laws are compared in simulation, with one converging significantly faster. Second, saturation of the Neumann boundary control input is considered. Saturation is a significant concern in the actual process. The enthalpy-based algorithm still allows for convergence under saturation. However, as one would expect, severity of the constraints can affect the convergence rate.
AB - In [1], the authors introduced a novel control law for the single-phase Stefan problem, a nonlinear partial differential equation, with the eventual goal of applying the result to control of cooling in continuous steel casting. In this paper, the previously published method of controlling the Stefan problem is extended in two key ways that improve the fidelity of the nonlinear PDE as a model of the temperature and solidification of continuous steel casters. First, a non-symmetric temperature distribution is allowed, in which separate Neumann boundary control is applied at either surface. Two convergent control laws are compared in simulation, with one converging significantly faster. Second, saturation of the Neumann boundary control input is considered. Saturation is a significant concern in the actual process. The enthalpy-based algorithm still allows for convergence under saturation. However, as one would expect, severity of the constraints can affect the convergence rate.
KW - Distributed parameter systems
KW - Materials processing
UR - http://www.scopus.com/inward/record.url?scp=84905708061&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905708061&partnerID=8YFLogxK
U2 - 10.1109/ACC.2014.6859062
DO - 10.1109/ACC.2014.6859062
M3 - Conference contribution
AN - SCOPUS:84905708061
SN - 9781479932726
T3 - Proceedings of the American Control Conference
SP - 1015
EP - 1020
BT - 2014 American Control Conference, ACC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 American Control Conference, ACC 2014
Y2 - 4 June 2014 through 6 June 2014
ER -