Paper Info
Title
Estimation of Toolface for Dynamic Point-the-bit Rotary Steerable Systems via Nonlinear Polynomial Filtering
Abstract
In this article, the estimation problem of Toolface is investigated for the dynamic point-the-bit rotary steerable system (DPRSS), and it is essentially a nonlinear filtering problem under strong interference. First, the DPRSS is modeled by a continuous-time nonlinear system, which involves polynomial nonlinearities and strong interference whose amplitude is much larger than that of system states. By employing the Carleman approximation approach, a linear parameter varying system is derived from the polynomial nonlinear system, and a novel polynomial filter is constructed. Subsequently, several sufficient conditions in terms of parameter-dependent linear matrix inequalities (PDLMIs) are obtained to ensure the input-to-state stability of the filtering error system. Furthermore, the filter parameter can be calculated by solving PDLMIs through the sum of squares decomposition method. Finally, an experimental study on the DPRSS prototype is provided to show the effectiveness and applicability of the developed filtering scheme.
Year
DOI
Venue
2022
10.1109/TIE.2021.3097601
IEEE Transactions on Industrial Electronics
Keywords
DocType
Volume
Estimation of Toolface,nonlinear filtering,polynomial nonlinear system (PNS),rotary steerable system,strong interference
Journal
69
Issue
ISSN
Citations 
7
0278-0046
1
PageRank 
References 
Authors
0.36
0
6
Name
Order
Citations
PageRank
Li Sheng112515.24
Yichun Niu283.50
Weiliang Wang310.36
Ming Gao4798.36
Yanfeng Geng510.36
Dong-Hua Zhou61833129.73