4.8 Article

Coupled Multiple Sliding-Mode Control for Robust Trajectory Tracking of Hovercraft With External Disturbances

Journal

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 65, Issue 5, Pages 4103-4113

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2017.2774772

Keywords

Coupled multiple siding-mode control (CMSMC); disturbance compensation; disturbance observer; hovercraft; robust tracking control

Funding

  1. National Research Foundation of Korea (NRF) - Ministry of Science, ICT, and Future Planning [2017R1A2B4009486]
  2. National Research Foundation of Korea [2017R1A2B4009486] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This paper proposes a robust coupled multiple sliding-mode control (CMSMC) method for tracking control of underactuated hovercraft systems with nonholonomic constraints and external disturbances. First, a friction model for the hovercraft, one of the main disturbance factors, is proposed by considering viscosity, and its validity is demonstrated through experiments. Second, a disturbance model in the actual hovercraft system is estimated using a least-square-estimation-based disturbance observer. Third, pseudo forces and pseudo heading direction angle for tracking control and disturbance compensation are proposed considering the characteristics of underactuated hovercraft systems. Fourth, coupled multiple sliding surfaces (CMSSs) are newly introduced in terms of the tracking errors between the pseudo control variables and actual ones, and then, a CMSMC-based controller is proposed so that the CMSSs converge to zero within finite time in the case of zero disturbance estimation errors. In this way, three posture variables of the hovercraft converge to reference ones using only two control inputs. Finally, stability analysis and verification by simulations and experiments show that both the pseudo control tracking errors and posture tracking errors are ultimately bounded and asymptotically converge to zero when disturbance estimation errors become zero.

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