Please use this identifier to cite or link to this item:
https://scidar.kg.ac.rs/handle/123456789/21906
Title: | PID-fuzzy switching-based strategy to heading control for remote operated vehicle |
Authors: | Xie, Baolong He, Shuping Cao, Xiang Wang, Honghai Stojanović, Vladimir Shi, Kaibo |
Journal: | Neural Computing and Applications |
Issue Date: | 2024 |
Abstract: | Accurate heading control is the premise for underwater vehicles to complete underwater operations. In order to improve the performance of heading control, this paper proposes a heading control strategy based on PID-fuzzy switching. First, the force analysis of the steering motion was carried out to derive the dynamics model of the steering motion. Then, the whole heading control process is divided into two phases, steering phase and holding phase. Fuzzy control is used in the steering phase, and PID control is used in the holding phase. By setting the automatic switching switch, the control system can switch freely between the two to meet the needs of system adjustment under different errors. Finally, the performance of the established heading control system is verified through motion control simulations and pool experiments, and the proposed control strategy is compared with other methods. The results show that the control strategy can effectively achieve ROV heading control with good steady-state accuracy, and the overall performance has been greatly improved. |
URI: | https://scidar.kg.ac.rs/handle/123456789/21906 |
Type: | article |
DOI: | 10.1007/s00521-024-10911-x |
ISSN: | 0941-0643 |
Appears in Collections: | Faculty of Mechanical and Civil Engineering, Kraljevo |
Files in This Item:
File | Description | Size | Format | |
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NCAA_2024.pdf Restricted Access | 111.16 kB | Adobe PDF | View/Open |
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