PID-fuzzy switching-based strategy to heading control for remote operated vehicle


연구 분야: Software Development



학회: Neural Computing and Applications


초록

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.


Author Profile
Baolong Xie

School of Electrical Engineering and Automation Anhui University Hefei 230039 China

Andorra
Author Profile
Shuping He

School of Electrical Engineering and Automation Anhui University Hefei 230039 China

Andorra
Author Profile
Xiang Cao

School of Artificial Intelligence Anhui University Hefei 230039 China

China

📄 논문 정보

발행 연도 2024년
인용수 7
출판 국가 Andorra, China
사이트 Springer
좋아요 수 0

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