期刊
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 67, 期 11, 页码 9648-9658出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2019.2952786
关键词
Visualization; Servomotors; Cameras; Observers; Vehicle dynamics; Kinematics; Velocity measurement; Dynamics-level monocular visual servo; finite-time fuzzy control; finite-time velocity observer (FVO); homography decomposition; unmanned surface vehicle (USV)
资金
- National Natural Science Foundation of China [51009017, 51379002]
- Fund for Liaoning Innovative Talents in Colleges and Universities [LR2017024]
- Fund for Dalian Distinguished Young Scholars [2016RJ10]
- Liaoning Revitalization Talents Program [XLYC1807013]
- Stable Supporting Fund of Science and Technology on Underwater Vehicle Laboratory [SXJQR2018WDKT03]
- Fundamental Research Funds for the Central Universities [3132019344]
In this article, in the presence of completely unknown dynamics and unmeasurable velocities, a dynamics-level finite-time fuzzy monocular visual servo (DFFMVS) scheme is created for regulating an unmanned surface vehicle (USV) to the desired pose. Main contributions are as follows: first, with the aid of homography decomposition, a novel homography-based visual servo structure for a USV with both kinematics and dynamics is first established such that complex unknowns including unmeasurable poses and velocities, image depth, system dynamics, and time-varying inertia are sufficiently encapsulated; second, using finite-time observer technique, finite-time velocity observer (FVO) based visual-servo error dynamics are elaboratively formulated, and thereby facilitating backstepping synthesis; third, by virtue of the FVO, the adaptive fuzzy dynamics approximator together with adaptive residual feedback is deployed to compensate complex unknowns, and thereby contributing to accurate regulation of pose errors; and fourth, a completely model-free monocular visual servo approach only using a camera is eventually invented. Simulation studies on a benchmark prototype USV demonstrate that the proposed DFFMVS scheme has remarkable performance with significant superiority in both visual servo and unknowns observation.
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