Imperial College London
Alternate

Dr Imad M. Jaimoukha

Faculty of Engineering, Department of Electrical and Electronic Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 6279i.jaimouka Website

 
 
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Location

 

617Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Georgiou:2021:10.1016/j.ifacol.2020.12.723,
author = {Georgiou, A and Evangelou, S and Jaimoukha, I and Downton, G},
doi = {10.1016/j.ifacol.2020.12.723},
pages = {11974--11981},
publisher = {Elsevier},
title = {Tracking control for directional drilling systems using robust feedback model predictive control},
url = {http://dx.doi.org/10.1016/j.ifacol.2020.12.723},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - A rotary steerable system (RSS) is a drilling technology which has been extensively studied and used for over the last 20 years in hydrocarbon exploration and it is expected to drill complex curved borehole trajectories. RSSs are commonly treated as dynamic robotic actuator systems, driven by a reference signal and typically controlled by using a feedback loop control law. However, due to spatial delays, parametric uncertainties and the presence of disturbances in such an unpredictable working environment, designing such control laws is not a straightforward process. Furthermore, due to their inherent delayed feedback, described by delay differential equations (DDE), directional drilling systems have the potential to become unstable given the requisite conditions. This paper proposes a Robust Model Predictive Control (RMPC) scheme for industrial directional drilling, which incorporates a simplified model described by ordinary differential equations (ODE), taking into account disturbances and system uncertainties which arise from design approximations within the formulation of RMPC. The stability and computational efficiency of the scheme are improved by a state feedback strategy computed offline using Robust Positive Invariant (RPI) sets control approach and model reduction techniques. A crucial advantage of the proposed control scheme is that it computes an optimal control input considering physical and designer constraints. The control strategy is applied in an industrial directional drilling configuration represented by a DDE model and its performance is illustrated by simulations.
AU  - Georgiou,A
AU  - Evangelou,S
AU  - Jaimoukha,I
AU  - Downton,G
DO  - 10.1016/j.ifacol.2020.12.723
EP  - 11981
PB  - Elsevier
PY  - 2021///
SN  - 2405-8963
SP  - 11974
TI  - Tracking control for directional drilling systems using robust feedback model predictive control
UR  - http://dx.doi.org/10.1016/j.ifacol.2020.12.723
UR  - https://www.sciencedirect.com/science/article/pii/S2405896320310429
UR  - http://hdl.handle.net/10044/1/82019
ER  -
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