Proceedings of 2012 International Conference on Measurement, Information and Control 2012
DOI: 10.1109/mic.2012.6273430
|View full text |Cite
|
Sign up to set email alerts
|

Nonlinear dynamics model of servo platform for steering drilling tool

Abstract: The funct i on of the servo p latform i s to control the borehole's deviat i on and or i entation by us i ng an automatic control method to dr i ve the platform sus p end i ng at a special angle. However, i t i s not an easy job to control th i s cylindr i cal and rotat i ng platform at a part i cular angle under the complex downhole env i ronment. The key to solve th i s p roblem is to establish a su i table nonl i near model. Based on the structure analysis of the p latform, a general law of dynam i cs equat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 0 publications
0
4
0
Order By: Relevance
“…The PWM generator can be simply regarded as an amplification section and described as u3(t)=Ksu2(t), ${u}_{3}(t)={K}_{s}{u}_{2}(t),$where K s = 1 is the amplification gain 11 . Thus, Equation () becomes u3(t)=u2(t). ${u}_{3}(t)={u}_{2}(t).$…”
Section: Nonlinear Mathematical Model Of the Stabilized Platformmentioning
confidence: 99%
See 2 more Smart Citations
“…The PWM generator can be simply regarded as an amplification section and described as u3(t)=Ksu2(t), ${u}_{3}(t)={K}_{s}{u}_{2}(t),$where K s = 1 is the amplification gain 11 . Thus, Equation () becomes u3(t)=u2(t). ${u}_{3}(t)={u}_{2}(t).$…”
Section: Nonlinear Mathematical Model Of the Stabilized Platformmentioning
confidence: 99%
“…The stability of the stabilized platform system is correlated with the assigned toolface angle. In practice, the assigned toolface angle is stable within certain ranges with the same control method and same parameters and potentially becomes unstable in other ranges 11 . Simulations are conducted with setpoints of 0.5π, 0.6π, and π to demonstrate the adaptability of the proposed control method.…”
Section: Simulation Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…In comparison to traditional control methodologies, DDPG stands out for its adaptability and robustness [13]. Furthermore, DDPG demonstrates excellent generalization capabilities and scalability, rendering it suitable for a wide array of control scenarios and system dynamic models [14,15]. Therefore, in this study, the DDPG algorithm is applied to the control system of a rotary steering drilling stabilized platform; building upon this foundation, we introduce a novel approach, the Disturbance-Observer-Based Deep Deterministic Policy Gradient, to effectively counteract the impact of non-linear frictional disturbances.…”
Section: Introductionmentioning
confidence: 99%