Research on Position-Feedback Control Strategy of Engineered Drilling Rig Hydro-Mechanical Composite Propulsion System
To solve the problem of traditional engineering drilling rig propulsion systems being difficult to adapt to complex working conditions due to their bulky structure and poor load adaptability, this study proposes a new type of mechanical hydraulic composite electro-hydraulic proportional propulsion system. The system innovatively adopts a composite design of parallel hydraulic cylinders and movable pulley groups in mechanical structure, aiming to achieve system lightweighting through displacement multiplication effect. In terms of control strategy, a fuzzy adaptive PID controller based on position feedback was designed to improve the dynamic tracking performance and robustness of the system under nonlinear time-varying loads. The study established a multi physics domain mathematical model of the system and conducted joint simulation using AMESim and MATLAB/Simulink to deeply verify the overall performance of the proposed scheme. The simulation results show that the mechanical structure can stably achieve a 2:1 displacement multiplication effect, providing a feasible path for shortening the system size. Compared with traditional PID control, the proposed fuzzy adaptive PID control strategy significantly improves the positioning accuracy of the system. The maximum tracking errors of the master and slave hydraulic cylinders are reduced from 6.3 mm and 10.4 mm to 2.3 mm and 5.6 mm, respectively, and the accuracy is improved by 63.49% and 46.15%, providing theoretical support and technical reference for the design of engineering drilling rig propulsion control systems.
Authors
- Di Wu (ORCID: https://orcid.org/0000-0003-2073-1022)
- Yuanzhou Li (ORCID: https://orcid.org/0009-0001-9491-3382)
- Sibo Liu (ORCID: https://orcid.org/0000-0002-1131-3788)
- Zhong Liu (ORCID: https://orcid.org/0000-0003-4096-3170)
- Hongwang Zhao
Institutions
- Guilin University of Aerospace Technology (CN)
- Guilin University of Technology (CN)
- Intelligent Health (United Kingdom) (GB)
- Guilin Electrical Equipment Research Institute (CN)
- Guilin University of Electronic Technology (CN)
Publication Details
- Journal
- Processes
- Published
- 2025-08-04
- DOI
- https://doi.org/10.3390/pr13082470
- Citations
- 1
- Primary Topic
- Hydraulic and Pneumatic Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.71
Funders
- National Natural Science Foundation of China