Overview of the Development of Ship Manoeuvring and Control Technology
DOI:
https://doi.org/10.54691/zs983773Keywords:
Maneuver System; PID Autopilot; Control Technology.Abstract
With the development of China's shipping trade, the maritime cargo transportation industry chain is becoming increasingly complete, and the requirements for ship safety and efficiency are also increasing. As an important factor affecting ship safety and efficiency, ship maneuvering and control technology has become a key issue to comprehensively grasp. Firstly, this article analyzes and summarizes the development status of ship maneuvering and control technology both domestically and internationally, and elaborates on the relevant theories of ship maneuvering systems; secondly, the four stages of the development of autopilots are summarized for the control methods of ship maneuvering rudder; finally, prospects were made for the development trend of ship maneuvering and control technology. It is of great significance for promoting the development of ship maneuvering and control technology, and for promoting the development of China's shipping industry.
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References
Demin Wang Research on Active Disturbance Rejection Control for Large Double Propeller and Double Rudder Ship Maneuvering [D]. Dalian Maritime University, 2016.
Xin Wang Research on Ship Navigation Safety Based on Ship Maneuverability [D]. Dalian Maritime University, 2017.
Haipeng Yu Research on ship maneuvering under adverse weather conditions [J]. Electronic Technology, 2020,49 (03): 104-105.
Guangtao Guo Design and System Simulation of Autopilot Heading Controller [D]. Harbin Engineering University, 2018.
Zhongjie Li. Design and research of ship autopilot monitoring and alarm system [J]. Internal Combustion Engine and Accessories, 2022 (17): 82-84.
Liyan Zhu, Li Tieshan. Adaptive Fuzzy Output Feedback Control for Intelligent Ship Autopilot System [J]. Journal of Nanjing University of Information Engineering (Natural Science Edition), 2021,13 (01): 22-28.
Chuanjun Shen, Zhou jun Fang, Xudong Wang. Design of portable debugging and adaptation device for ship autopilot [J]. Ship Electronics Engineering, 2022, 42 (05): 40-44.
Zhongjie Li. Design and research of ship autopilot monitoring and alarm system [J]. Internal Combustion Engine and Accessories, 2022365 (17): 82-84.
Xueli Chen, Qiming Cheng. Development of ship autopilot control technology [J]. Journal of Nanjing University of Chemical Technology (Natural Science Edition), 2001 (04): 101-105.
Zhou, J., Li, S., Sun, Y. Research on Ship Intelligent Navigation Control System Based on Deep Learning[J]. Journal of Marine Science and Engineering,2018,6(1):18.
Liao, Q, Zou, Y, Xu, B. Review of intelligent marine propulsion control systems[J]. Journal of Marine Science and Engineering,2020,8(3):202.
Sperry E.Directional stability of automatically steered bodies[J].Journal of the American Society of Naval Engineers,1922,42(1):2-13.
Sugimoto A.A new autopilot system with condition adaptivity[C].The 5th Ship Control Systems Symposium, Annapolis, Maryland, USA, 1978.105-111.
Akaika H.Fitting autoregressive models for prediction[J].Ann Inst Statist Math(Tokyo),1969,21(3); 243-253.
Enab Y M. Intelligent controller design for the ship steering problem[J].IEE Proc-Control Theory Appl-ication, 1996,143(1):17-25.
Jeffery R L.Fuzzy model reference learning control for cargo ship steering[J].IEEE Control System, 1993,13(5):23-34.
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