Based on an improved performance function and error transformation, a kind of predefined-time control method with prescribed performance is investigated for the trajectory tracking control problem of the Autonomous Underwater Vehicle (AUV). First, an improved form of performance function is proposed and the corresponding error transformation is given. The AUV trajectory tracking error is limited within the predefined boundary to ensure the expected steady-state and transient response from the perspective of constraint boundary. Then, by using the idea of predefined-time control method, a prescribed performance controller with predefined time is proposed. The convergence time of trajectory tracking error is strictly set, and the Lyapunov method is used to prove the stability of the controller. Finally, the numerical simulation results show that the proposed controller is effective.
机构:
School of Ocean Information Engineering, Jimei University, Fujian, XiamenSchool of Ocean Information Engineering, Jimei University, Fujian, Xiamen
Lin L.
Zheng J.
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机构:
School of Ocean Information Engineering, Jimei University, Fujian, XiamenSchool of Ocean Information Engineering, Jimei University, Fujian, Xiamen
Zheng J.
Zhu P.
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机构:
School of Ocean Information Engineering, Jimei University, Fujian, XiamenSchool of Ocean Information Engineering, Jimei University, Fujian, Xiamen
Zhu P.
Yang D.
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机构:
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Guangdong, ShenzhenSchool of Ocean Information Engineering, Jimei University, Fujian, Xiamen
Yang D.
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition),
2023,
51
(05):
: 47
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52
机构:
Northwestern Polytech Univ, Unmanned Syst Res Inst, Xian 710072, Peoples R ChinaNorthwestern Polytech Univ, Unmanned Syst Res Inst, Xian 710072, Peoples R China
Xu, Hao
Dong, Dianbiao
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机构:
Northwestern Polytech Univ, Sch Mech Engn, Xian 710072, Peoples R ChinaNorthwestern Polytech Univ, Unmanned Syst Res Inst, Xian 710072, Peoples R China
Dong, Dianbiao
Yu, Dengxiu
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机构:
Northwestern Polytech Univ, Sch Artificial Intelligence Opt & Elect, Xian 710072, Peoples R ChinaNorthwestern Polytech Univ, Unmanned Syst Res Inst, Xian 710072, Peoples R China
Yu, Dengxiu
Liu, Yan-Jun
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机构:
Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R ChinaNorthwestern Polytech Univ, Unmanned Syst Res Inst, Xian 710072, Peoples R China
机构:
Shanghai Jiao Tong University,School of Oceanography, and Shanghai Key Laboratory of Polar Life and Environment SciencesShanghai Jiao Tong University,School of Oceanography, and Shanghai Key Laboratory of Polar Life and Environment Sciences
Ying Guo
Caoyang Yu
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机构:
Shanghai Jiao Tong University,School of Oceanography, and Shanghai Key Laboratory of Polar Life and Environment SciencesShanghai Jiao Tong University,School of Oceanography, and Shanghai Key Laboratory of Polar Life and Environment Sciences
Caoyang Yu
Xianbo Xiang
论文数: 0引用数: 0
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机构:
Huazhong University of Science and Technology,Hubei Province Key Laboratory for Unmanned Underwater Vehicle and Manipulating TechnologyShanghai Jiao Tong University,School of Oceanography, and Shanghai Key Laboratory of Polar Life and Environment Sciences
Xianbo Xiang
Chunhu Liu
论文数: 0引用数: 0
h-index: 0
机构:
Huazhong University of Science and Technology,School of Naval Architecture and Ocean EngineeringShanghai Jiao Tong University,School of Oceanography, and Shanghai Key Laboratory of Polar Life and Environment Sciences
Chunhu Liu
Lian Lian
论文数: 0引用数: 0
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机构:
Huazhong University of Science and Technology,Hubei Province Key Laboratory for Unmanned Underwater Vehicle and Manipulating TechnologyShanghai Jiao Tong University,School of Oceanography, and Shanghai Key Laboratory of Polar Life and Environment Sciences