Open Access
| Issue |
JNWPU
Volume 43, Number 4, August 2025
|
|
|---|---|---|
| Page(s) | 685 - 693 | |
| DOI | https://doi.org/10.1051/jnwpu/20254340685 | |
| Published online | 07 October 2025 | |
- WANG Tao. Operational efficiency analysis of ROV in underwater operations[J]. China Petroleum and Chemical Standard and Quality, 2024, 44(3): 102–104 (in Chinese) [Google Scholar]
- YAN GangZHOU Jun. A review of intelligent control technologies for underwater robots[J]. Electronics World, 201324): 21–22 (in Chinese) [Google Scholar]
- BINUGROHO E H, AB W, MAS'UDI M I, et al. EROV: depth and balance control for ROV motion using fuzzy PID method[C]//2019 International Electronics Symposium, 2019: 637–643 [Google Scholar]
- HUO JianghangJIANG XiangyuanLUAN Yizhong, et al. Design of AUV depth controller based on L1 adaptive theory[J]. Chinese Journal of Ship Research, 2021, 16(5): 150–157 (in Chinese) [Google Scholar]
- MEI ManZHU DaqiGAN Wenyang, et al. The tracking control of unmanned underwater vehicles based on model predictive control[J]. Control Engineering of China, 2019, 26(10): 1917–1924 (in Chinese) [Google Scholar]
- WANG JianhuaSONG YanWEI Guoliang, et al. Application of cascade PID control in the pitch control system of a remotely operated vehicle[J]. Journal of University of Shanghai for Science and Technology, 2017, 39(3): 229–235 (in Chinese) [Google Scholar]
- YANG JianjianFU Zongguo. Research on the depth direction trajectory tracking of ROV controlled by sliding mode variable structure[J]. Journal of Zhejiang Ocean University, 2014, 33(2): 175–179 (in Chinese) [Google Scholar]
- YANG JianhuaTIAN Shouye. Research on depth control algorithm of underwater vehicle based on theory of sliding mode[J]. Computer Measurement & Control, 2017, 25(8): 43–45 (in Chinese) [Google Scholar]
- GAO ShengCHEN KunZHANG Liwei, et al. Control method for fixed point hovering of open-shelf observational ROV[J]. China Petroleum Machinery, 2019, 47(2): 55–64 (in Chinese) [Google Scholar]
- WEI WeiMEI ShengweiZHANG Xuemin. Review of advanced control theory and application in power system[J]. Power System Protection and Control, 2013, 41(12): 143–153 (in Chinese) [Google Scholar]
- ZHANG Panmei. Optimization of underwater robot control system based on fuzzy PID algorithm[J]. Machine Tool & Hydraulics, 2024, 52(3): 72–77 (in Chinese) [Google Scholar]
- ZIEGLER J GNICHOLS N B. Optimum settings for automatic controllers[J]. Transactions of the American Society of Mechanical Engineers, 1942, 64(8): 759–765 [Google Scholar]
- YAN YinpoYU FujieCHEN Yuan. Hydrodynamic coefficients calculation and dynamic modeling of an open-frame underwater robot[J]. Acta Armamentarii, 2021, 42(9): 1972–1986 (in Chinese) [Google Scholar]
- XU Dehui. Research on dynamic analysis of underwater robot[J]. Journal of Jiamusi University, 2018, 36(2): 244–248 (in Chinese) [Google Scholar]
- KABANOV AKRAMAR VERMAKOV I. Design and modeling of an experimental ROV with six degrees of freedom[J]. Drones, 2021, 5(4): 113 [Google Scholar]
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