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논문검색

A Novel Control Method for Shallow Underwater Robot

초록

영어

For the coordination and control of robot behavior, behavior decision is the foundation and the determinant of robot intelligence. Based on autonomous underwater vehicle (AUV), through the analysis of domestic anti-surge technology research status and inrush current model, a control technology with the use of behavioural decision upper and lower piecewise integration control between PID and FPID(Fuzzy PID) is designed. Then, according to the characteristics of underwater robotics and inrush current optimal path planning, AUV can get information and plan a different anti-surge behavioural decision, which makes underwater robot better complete the underwater operations. Finally, the simulation of anti-surge behaviour underwater robot is done. The results show that it achieves a good control performance, and the environmental adaptability of AUV has been improved.

목차

Abstract
 1. Introduction
 2. Piecewise Integration Control between PID and FPID
 3. Behavior Decision Algorithm
  3.1. Behavioral Decision Algorithm Design
  3.2. Behavioral Decision Algorithm
 4. Simulation and Experiment
  4.1. Simulation
  4.2. Experiment
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Zhijie Tang School of Mechatronic Engineering and Automation, Shanghai University
  • Pinglong Liu School of Mechatronic Engineering and Automation, Shanghai University
  • Qian Luo School of Mechatronic Engineering and Automation, Shanghai University
  • Jun Luo School of Mechatronic Engineering and Automation, Shanghai University
  • Shaorong Xie School of Mechatronic Engineering and Automation, Shanghai University

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