Fast estimation and ℒ1 adaptive control for bottomhole pressure in managed pressure drilling

Zhiyuan Li, Naira Hovakimyan, Glenn Ole Kaasa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2011 IEEE International Symposium on Intelligent Control, ISIC 2011
Pages996-1001
Number of pages6
DOIs
StatePublished - 2011
Event2011 IEEE International Symposium on Intelligent Control, ISIC 2011 - Denver, CO, United States
Duration: Sep 28 2011Sep 30 2011

Publication series

NameIEEE International Symposium on Intelligent Control - Proceedings

Other

Other2011 IEEE International Symposium on Intelligent Control, ISIC 2011
Country/TerritoryUnited States
CityDenver, CO
Period9/28/119/30/11

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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