TY - GEN
T1 - Enthalpy-based Output Feedback Control of Two-sided Stefan Problem with Input Saturation
AU - Chen, Zhelin
AU - El-Kebir, Hamza
AU - Petrus, Bryan
AU - Bentsman, Joseph
AU - Thomas, Brian G.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In the steel casting process, the deficient surface temperature history of the solidifying steel slab can induce the transverse surface cracks, while the improper relative location of the solidification front inside the slab down the caster can create the internal cracks. Furthermore, if the slab is not fully solidified when it leaves the support rolls of the caster, the pressure from the molten steel will cause the steel shell to bulge out drastically, creating a defect called "whale", which damages the casting machine and causes a long work stoppage. Therefore, regulation of both the steel temperature and the liquid-solid interface location history is the key to maintaining the high steel quality and operational safety. This regulation can be achieved by the water spray cooling. The latter, however, is characterized by saturation when the water flow rate reaches its available maximum. The previous work of the authors started addressing this problem by presenting the full state feedback enthalpy-based control law for the two-sided Stefan problem with actuator saturation, describing the steel slab solidification under spray rate constraint. However, in the actual system, the full state feedback is not possible, since only the solid boundary temperature sensing is available. The present work closes this fundamental gap by combining a full state controller with an observer based on the temperature of the solid boundary. This combination produces the output feedback control law capable of tracking the desired temperature and solidification front trajectory under input saturation in the two-sided Stefan problem. The closed-loop convergence of the temperature and the interface errors for the output feedback system obtained are proven. Simulation shows the exponential-like trajectory convergence attained by the implementable smooth bounded control signals.
AB - In the steel casting process, the deficient surface temperature history of the solidifying steel slab can induce the transverse surface cracks, while the improper relative location of the solidification front inside the slab down the caster can create the internal cracks. Furthermore, if the slab is not fully solidified when it leaves the support rolls of the caster, the pressure from the molten steel will cause the steel shell to bulge out drastically, creating a defect called "whale", which damages the casting machine and causes a long work stoppage. Therefore, regulation of both the steel temperature and the liquid-solid interface location history is the key to maintaining the high steel quality and operational safety. This regulation can be achieved by the water spray cooling. The latter, however, is characterized by saturation when the water flow rate reaches its available maximum. The previous work of the authors started addressing this problem by presenting the full state feedback enthalpy-based control law for the two-sided Stefan problem with actuator saturation, describing the steel slab solidification under spray rate constraint. However, in the actual system, the full state feedback is not possible, since only the solid boundary temperature sensing is available. The present work closes this fundamental gap by combining a full state controller with an observer based on the temperature of the solid boundary. This combination produces the output feedback control law capable of tracking the desired temperature and solidification front trajectory under input saturation in the two-sided Stefan problem. The closed-loop convergence of the temperature and the interface errors for the output feedback system obtained are proven. Simulation shows the exponential-like trajectory convergence attained by the implementable smooth bounded control signals.
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U2 - 10.1109/CDC51059.2022.9992377
DO - 10.1109/CDC51059.2022.9992377
M3 - Conference contribution
AN - SCOPUS:85146980965
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 7370
EP - 7375
BT - 2022 IEEE 61st Conference on Decision and Control, CDC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 61st IEEE Conference on Decision and Control, CDC 2022
Y2 - 6 December 2022 through 9 December 2022
ER -