2019
DOI: 10.1177/1729881419832751
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Robust exponential point stabilization control of the high-speed underactuated unmanned marine vehicle with model asymmetry

Abstract: Point stabilization control of a class of asymmetric underactuated high-speed unmanned marine vehicle is discussed, and a robust exponential stabilization control algorithm is proposed based on homogeneous theory, average system theory, and nonlinear backstepping technology. Firstly, point stabilization control problem of a high-speed underactuated unmanned marine vehicle with model asymmetry is formulated, and then global differential homeomorphism transformation is designed, in order to overcome the difficul… Show more

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Cited by 5 publications
(10 citation statements)
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References 36 publications
(78 reference statements)
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“…In this part, the proposed L 1 adaptive backstepping control (proposed L 1 -ABC) algorithm is compared with widely adaptive time-delayed control (WATDC) in Baek et al (2019), L 1 adaptive backstepping control ( L 1 -ABC) in Monte and Lohmann (2013), sliding mode control with parameter estimation (SMC-PE) in Sun et al (2018), robust exponential point stabilization control (REPSC) in Dong et al (2019). The initial conditions are the same as the above subsection.…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…In this part, the proposed L 1 adaptive backstepping control (proposed L 1 -ABC) algorithm is compared with widely adaptive time-delayed control (WATDC) in Baek et al (2019), L 1 adaptive backstepping control ( L 1 -ABC) in Monte and Lohmann (2013), sliding mode control with parameter estimation (SMC-PE) in Sun et al (2018), robust exponential point stabilization control (REPSC) in Dong et al (2019). The initial conditions are the same as the above subsection.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…The DP technology of USV has received a considerable amount of attentions (Dong et al, 2019; Sarfraz et al, 2017; Xie et al, 2017). Since USVs are always exposed to the unpredictable and inevitable external environment disturbances, their disturbance cancellation problem is crucial in DP control design (Jiang et al, 2020; Panagou and Kyriakopoulos, 2014; Sun et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, as $ 2 converges to 0, as proved in the "Stability analysis of intermediate state variables $ 1 , $ 2 , $ 3 " section, and the virtual control input a ' e is also proved to converge to 0, then combing with the second equation of system (13), it is easy to obtain that the UMV path following heading error ' e would also globally and asymptotically converge to 0 as t ! 1.…”
Section: Stability Analysis Of the Whole Umv Path Following Control Smentioning
confidence: 87%
“…Firstly, we discuss the stability and convergence of the intermediate state variables $ 1 , $ 2 , $ 3 designed in equation (13). Substituting the path following control laws designed in equations (15) and (16) into the new error system (14) leads to…”
Section: Stability Analysis Of Intermediate State Variablesmentioning
confidence: 99%
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