2020
DOI: 10.1155/2020/5426087
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Stabilization of a Class of Nonlinear Underactuated Robotic Systems through Nonsingular Fast Terminal Sliding Mode Control

Abstract: To facilitate the stabilization of nonlinear underactuated robotic systems under perturbation, a novel nonsingular fast terminal sliding mode control method is proposed. Based on the system transformation into an integrator chain, the combination of twisting-like algorithm and a nonsingular fast terminal sliding mode control technique is employed to achieve the stabilization of the studied systems, which can drive the robot states (joint positions and velocities) to the desired region and then maintain the sys… Show more

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Cited by 4 publications
(9 citation statements)
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“…Unknown system N 2 (t, q, _ q, € q) and its estimated value N2 (t, q, _ q, € q). the new transform function (16) proposed in this paper allows tracking errors exceeding the bound predefined by (13), which is attributed to unlimited domain of (16). From Figures 11 and 12, one knows that tracking errors leave the bound at 5s, but return to it after disturbances vanishing.…”
Section: Numerical Simulationsmentioning
confidence: 89%
See 1 more Smart Citation
“…Unknown system N 2 (t, q, _ q, € q) and its estimated value N2 (t, q, _ q, € q). the new transform function (16) proposed in this paper allows tracking errors exceeding the bound predefined by (13), which is attributed to unlimited domain of (16). From Figures 11 and 12, one knows that tracking errors leave the bound at 5s, but return to it after disturbances vanishing.…”
Section: Numerical Simulationsmentioning
confidence: 89%
“…Transform function ( 16) is shown in Figure 2(c), and it has definition for all z i . By selecting a, b, and c appropriately, (16) would have the similar properties as ( 14) and (15) in the required range (À R, R). Furtherly, T(z i ) still has definition out of the range.…”
Section: Prescribed Performance Design and Transform Function Analysismentioning
confidence: 99%
“…Underactuated control systems (Shi, Yao, Yuan, Hu, et al, 2022; Song et al, 2020) refer to control systems in which the number of system control inputs is less than the number of system degrees of freedom. The models are seen in systems, such as inverted pendulum systems (Franco et al, 2018; Jmel et al, 2020), bat systems (Mehedi et al, 2019; Saeed & Soltanpour, 2021), tower crane robots (Ouyang et al, 2021; M. Zhang et al, 2021), and so forth.…”
Section: Overview Of Control Theory and Methodsmentioning
confidence: 99%
“…Consider the tracking error (25) and the LFSC manifold (26). In this case, control law u was designed as where ξ 1 was a positive constant, the meaning of ξ 1 was similar to ξ. en, the meaning of H 4 (t), H 5 (t), H 6 (t) and d 4 (t), d 5 (t), d 6 (t) were similar to H 1 (t) and d 1 (t) in Section 3.1, respectively.…”
Section: Inner Loop Controller Designmentioning
confidence: 99%
“…Zhou et al [25] utilized deep learning method to compensate the uncertainties of the system without requirement of their upper bounds, which makes the designed switching gain much smaller. Song et al [26] proposed a novel nonsingular fast-terminal sliding mode control method to facilitate the stabilization of nonlinear underactuated systems under disturbances. Gu et al [27] utilized neural networks to approximate the lumped unknown dynamic model and designed a fast-terminal sliding mode control strategy to achieve the finite-time consensus tracking.…”
Section: Introductionmentioning
confidence: 99%