Title :
Integrated estimator and L1 adaptive controller for well drilling systems
Author :
Li, Zhiyuan ; Hovakimyan, Naira ; Cao, Chengyu ; Kaasa, Glenn-Ole
Author_Institution :
Dept. of Mech. Sci. & Eng., UIUC, Urbana, IL, USA
Abstract :
This paper presents an integrated adaptive estimator-controller scheme for a class of systems with only partially measured states. To estimate the non-measured states, a fast adaptive estimator is applied. The estimation is used in the L1 adaptive controller, which adapts to time-varying unknown parameters and time-varying bounded disturbances in the system without restricting their rate of variation. The results demonstrate that the L1 adaptive controller has guaranteed performance bounds for system´s both input and output, while using the estimation of the regulated outputs. The approach is used to control the bottom hole pressure of a well drilling system, in which the measurement of the pressure is updated at a low rate. Simulations verify the theoretical findings.
Keywords :
adaptive control; drilling; time-varying systems; well logging; L1 adaptive controller; integrated adaptive estimator-controller scheme; integrated estimator; time-varying bounded disturbances; time-varying unknown parameters; well drilling systems; Adaptive control; Control systems; Drilling; Inductors; Petroleum; Pressure control; Pressure measurement; Programmable control; State estimation; Time varying systems;
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2009.5160722