Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 16, Issue 2, Pages 898-908Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2019.2922823
Keywords
Bridge trajectory (BT); generalized waypoint (GW); successive waypoints tracking (SWT); underactuated surface vehicle (USV)
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Funding
- National Natural Science Foundation of P. R. China [51009017, 51379002]
- Fund for Dalian Distinguished Young Scholars [2016RJ10]
- Fund for Liaoning Innovative Talents in Colleges and Universities [LR2017024]
- Liaoning Revitalization Talents Program [XLYC1807013]
- Fundamental Research Funds for the Central Universities [3132016314, 3132018126]
- Stable Supporting Fund of Science and Technology on Underwater Vehicle Laboratory [SXJQR2018WDKT03]
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In marine guard, patrol, and racing scenarios, it is of great importance to autonomously helm an underactuated surface vehicle (USV) to accurately achieve successive waypoints tracking (SWT) with prescribed velocities and courses. In this paper, in the presence of completely unknown dynamics and environmental forces, the emerging SWT problem is innovatively solved by creating a novel model-free guidance-control integrated framework. In lieu of direct guidance to the waypoint which inevitably suffers from singularity, a new tool called bridge trajectory (BT) exactly passing through the generalized waypoint (GW) is first developed by defining marching and ahead points, i.e., a marching point (MP) and an ahead point (AP). Combining with pursuit guidance and finite-time unknown observer (FUO), successive BTs are switched ON and OFF, with the aid of MP and AP, respectively. By virtue of the FUO, cascade analysis, filtered backstepping, and Lyapunov approach, BT tracking control laws for surge and yaw motions are further synthesized to ensure successive GWs with desired positions, velocities, and courses can be tracked accurately, and thereby eventually contributing to a BT-guided model-free solution to the SWT problem. Simulation studies on a benchmark USV demonstrate remarkable performance of the proposed method.
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