TY - GEN
T1 - Fast estimation and ℒ1 adaptive control for bottomhole pressure in managed pressure drilling
AU - Li, Zhiyuan
AU - Hovakimyan, Naira
AU - Kaasa, Glenn Ole
PY - 2011
Y1 - 2011
N2 - In managed pressure drilling, there are two main challenges involved. First, the bottomhole pressure and flow rate to be controlled is updated at a low rate, which can be viewed as unmeasured. Second, the drilling process is subject to unknown parameters (e.g., frictions, densities), unmodeled dynamics and noise. To deal with these issues, this paper presents an integrated fast estimation and ℒ1 adaptive control scheme. The estimator provides fast estimation of the bottomhole pressure based on the available measurements. The ℒ1 adaptive controller drives the pressure to the desired value following a reference model. The design is based on a recently developed nonlinear drilling model. The results demonstrate that the ℒ1 adaptive controller has guaranteed performance bounds for both the input and the output signals of the system while using the estimation of the regulated outputs. Simulations that include different operational conditions verify the theoretical findings.
AB - In managed pressure drilling, there are two main challenges involved. First, the bottomhole pressure and flow rate to be controlled is updated at a low rate, which can be viewed as unmeasured. Second, the drilling process is subject to unknown parameters (e.g., frictions, densities), unmodeled dynamics and noise. To deal with these issues, this paper presents an integrated fast estimation and ℒ1 adaptive control scheme. The estimator provides fast estimation of the bottomhole pressure based on the available measurements. The ℒ1 adaptive controller drives the pressure to the desired value following a reference model. The design is based on a recently developed nonlinear drilling model. The results demonstrate that the ℒ1 adaptive controller has guaranteed performance bounds for both the input and the output signals of the system while using the estimation of the regulated outputs. Simulations that include different operational conditions verify the theoretical findings.
UR - http://www.scopus.com/inward/record.url?scp=80155174974&partnerID=8YFLogxK
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U2 - 10.1109/ISIC.2011.6045426
DO - 10.1109/ISIC.2011.6045426
M3 - Conference contribution
AN - SCOPUS:80155174974
SN - 9781457711046
T3 - IEEE International Symposium on Intelligent Control - Proceedings
SP - 996
EP - 1001
BT - 2011 IEEE International Symposium on Intelligent Control, ISIC 2011
T2 - 2011 IEEE International Symposium on Intelligent Control, ISIC 2011
Y2 - 28 September 2011 through 30 September 2011
ER -