Title :
Fast estimation and ℒ1 adaptive control for bottomhole pressure in managed pressure drilling
Author :
Li, Zhiyuan ; Hovakimyan, Naira ; Kaasa, Glenn-Ole
Author_Institution :
Dept. of Mech. Sci. & Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
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.
Keywords :
adaptive control; control system synthesis; flow control; nonlinear control systems; oil drilling; pressure control; L1 adaptive control; bottomhole pressure control; bottomhole pressure estimation; control design; different operational condition; drilling process; flow rate control; friction; managed pressure drilling; nonlinear drilling model; reference model; unmodeled dynamics; Actuators; Adaptation models; Adaptive systems; Equations; Estimation; Mathematical model; Uncertainty;
Conference_Titel :
Intelligent Control (ISIC), 2011 IEEE International Symposium on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4577-1104-6
Electronic_ISBN :
2158-9860
DOI :
10.1109/ISIC.2011.6045426