2018
DOI: 10.1139/tcsme-2017-0051
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Nonsingular terminal sliding mode control of underwater remotely operated vehicles

Abstract: This study investigates the nonsingular terminal sliding mode control (NTSMC) method for the four-degree-of-freedom (4-DOF) trajectory tracking control problem of underwater remotely operated vehicles (ROVs) in the presence of parametric uncertainties and external disturbances. Two new control algorithms have been developed for ROVs. The first one, combining a nonsingular sliding surface with a fast terminal sliding mode (FTSM) type reaching law, is nonsingular and chattering-free. The second one, introducing … Show more

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Cited by 14 publications
(6 citation statements)
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“…To utilize SM control and its variants in practical systems, some methods have been proposed and used to suppress the chattering, such as reaching laws, boundary layer, adaptive control, fuzzy logical, neural networks control, and high‐order SM (HOSM) control . The latter has enjoyed many interests thanks to its good comprehensive performance.…”
Section: Introductionmentioning
confidence: 99%
“…To utilize SM control and its variants in practical systems, some methods have been proposed and used to suppress the chattering, such as reaching laws, boundary layer, adaptive control, fuzzy logical, neural networks control, and high‐order SM (HOSM) control . The latter has enjoyed many interests thanks to its good comprehensive performance.…”
Section: Introductionmentioning
confidence: 99%
“…Then, the following nonsingular fast terminal sliding mode (NFTSM) surface and fast-TSMtype reaching law are designed as 19,20 s = e + k 1 sig e ð Þ a + k 2 sig _ e ð Þ b ð9Þ…”
Section: Tde-based Cnftsm Controller Designmentioning
confidence: 99%
“…Define the tracking errors as e = ζ d ζ , e · = ζ · d ζ · and e ·· = ζ ·· d ζ ·· . Then, the following nonsingular fast terminal sliding mode (NFTSM) surface and fast-TSM-type reaching law are designed as 19,20…”
Section: Tde-based Cnftsm Controller Designmentioning
confidence: 99%
“…The proposed method utilizes TDE to obtain the system dynamics and applied TSM error dynamics to guarantee high control accuracy. Thanks to the attractive finite time convergence nature and high performance near the equilibrium point, TSM control has been widely used in many systems [31][32][33][34][35][36][37][38][39][40][41]. Recently, a novel continuous NTSM (CNTSM) scheme has been proposed and investigated for the control purpose of robot manipulators [42,43].…”
Section: Introductionmentioning
confidence: 99%