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Trajectory Tracking Control for Underactuated Surface Vessels Based on Nonlinear Model Predictive Control

  • Chenguang LiuEmail author
  • Huarong Zheng
  • Rudy R. Negenborn
  • Xiumin Chu
  • Le Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9335)

Abstract

An autonomous vessel can improve the intelligence, efficiency and economy of shipping logistics. To realize autonomous navigation control of underactuated vessels (USVs), this paper presents a controller that can make USV track a reference trajectory with only 2 inputs, i.e., surge and yaw. A nonlinear state-space model with 2 inputs considering environmental disturbances induced by wind, current and waves for a 3 degree of freedom (DOF) surface vessel is considered. Based on this model, a trajectory tracking controller using Nonlinear Model Predictive Control (NMPC) is designed. System constraints on inputs, input increment and output are incorporated in the NMPC framework. Simulation results show that the controller can track an ellipse trajectory well and that the tracking errors are within acceptable ranges, while system constraints are satisfied.

Keywords

Underactuated surface vessels Nonlinear model predictive control Trajectory tracking Environmental disturbances 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Chenguang Liu
    • 1
    • 2
    Email author
  • Huarong Zheng
    • 3
  • Rudy R. Negenborn
    • 3
  • Xiumin Chu
    • 1
  • Le Wang
    • 1
    • 4
  1. 1.Engineering Research Center for Transportation Safety, Ministry of EducationWuhan University of TechnologyWuhanPeople’s Republic of China
  2. 2.School of Energy and Power EngineeringWuhan University of TechnologyWuhanPeople’s Republic of China
  3. 3.Maritime and Transport TechnologyDelft University of TechnologyDelftThe Netherlands
  4. 4.School of Logistics EngineeringWuhan University of TechnologyWuhanPeople’s Republic of China

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