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Title: Drilling attitude determination and control
Author: Hollensteiner, Erwin
ISNI:       0000 0004 2718 2043
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 2007
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This thesis is concerned with the development of a new robust and efficient real time signal processing algorithm for a rotating strapdown inertial navigation system (INS). Although the signal processing in INS is dominated by the Kalman filter algorithm, often this algorithm is not feasible for small microcontroller or digital signal processor (DSP) applications. This thesis develops a new fixed point DSP algorithm for cal- culating the optimal estimate of orientation of the INS. In this thesis Kalman filter algorithms in INS are discussed. A filter algorithm for a rotating inertial navigation system is developed. The discussed navigation system is part of an oil drilling tool. The theoretical work is verified by a set of experiments and field tests. The experi- mental results have shown that the required attitude measurement accuracy can be achieved. It has been shown that it is possible to control the attitude for a directional drilling tool.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available