An investigation of the auto-berthing problem for underactuated surface vessels is presented, considering dynamic uncertainties, finite time, transmission load, and environmental disturbance constraints. It is proposed to integrate the finite time control technology with the event-triggered mechanism input algorithm to develop a novel control scheme. Applying the differential homeomorphism coordinate method transforms the vessel into a standard integral cascade form to solve the underactuated problem. A finite-time technology and an event-triggered technology are then used to save time for the berthing vessel, decrease the transmission burden between the controller and vessel, and reduce the acting frequency of the actuator. Furthermore, the radial basis function network(RBF) is employed to approximate unknown nonlinear functions, and minimum learning parameters(MLP) are introduced to reduce computational complexity. Based on the Lyapunov stability theory, a sufficient effort has been made to verify the stability of the closed-loop system. The simulation results demonstrate the effectiveness of the proposed scheme.
机构:
Mokpo National Maritime University, Department of Navigation Science, Mokpo,58628, Korea, Republic ofMokpo National Maritime University, Department of Navigation Science, Mokpo,58628, Korea, Republic of
Liu, Yang
Im, Nam-Kyun
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Mokpo National Maritime University, Department of Navigation Science, Mokpo,58628, Korea, Republic ofMokpo National Maritime University, Department of Navigation Science, Mokpo,58628, Korea, Republic of
机构:
Shanghai Maritime Univ, Merchant Marine Coll, Shanghai 201306, Peoples R ChinaShanghai Maritime Univ, Merchant Marine Coll, Shanghai 201306, Peoples R China
Meng, Xiangfei
Zhang, Guichen
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Shanghai Maritime Univ, Merchant Marine Coll, Shanghai 201306, Peoples R ChinaShanghai Maritime Univ, Merchant Marine Coll, Shanghai 201306, Peoples R China
Zhang, Guichen
Han, Bing
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Shanghai Ship & Shipping Res Inst Co Ltd, Shanghai, Peoples R China
Minjiang Univ, Coll Phys & Elect Informat Engn, Fuzhou, Peoples R ChinaShanghai Maritime Univ, Merchant Marine Coll, Shanghai 201306, Peoples R China
Han, Bing
Liu, Xuanming
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Shanghai Maritime Univ, Sino Dutch Mechatron Engn Coll, Shanghai, Peoples R ChinaShanghai Maritime Univ, Merchant Marine Coll, Shanghai 201306, Peoples R China
机构:
Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R ChinaDalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
Li, Meilin
Li, Tieshan
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Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R ChinaDalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
Li, Tieshan
Gao, Xiaoyang
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Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R ChinaDalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
Gao, Xiaoyang
Shan, Qihe
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Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R ChinaDalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
Shan, Qihe
Chen, C. L. Philip
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Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
Univ Macau, Fac Sci & Technol, Dept Comp & Informat Sci, Macau 99999, Peoples R ChinaDalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
Chen, C. L. Philip
Xiao, Yang
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Univ Alabama, Dept Comp Sci, Tuscaloosa, AL 35487 USADalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China