2019
DOI: 10.1007/s42452-019-1866-5
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Fixed time terminal sliding mode trajectory tracking design for a class of nonlinear dynamical model of air cushion vehicle

Abstract: This manuscript proposes a robust fixed time terminal sliding mode prototype for trajectory tracking of the nonlinear dynamics of an under-actuated air cushion vehicle. Nonlinearity, external disturbances, internal uncertainties and unmodeled dynamics are the main difficulties that an amphibious vehicle is faced with in its maneuver. The main contribution of the proposed methodology is to overcome these problems based on both the guaranteed stability in sense of Lyapunov and the fixed time tracking error even … Show more

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Cited by 8 publications
(2 citation statements)
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“…Sliding mode control (SMC) is among the most effective robust control technique for nonlinear systems with uncertainties and external disturbances [22]. It offers advantages such as good tracking performance, fast response, robustness against external disturbances and uncertainties, and suitable transient response [23][24][25]. However, a major drawback of this approach are the high-frequency finite amplitude oscillations or chattering phenomena [26].…”
Section: Background and Motivationmentioning
confidence: 99%
“…Sliding mode control (SMC) is among the most effective robust control technique for nonlinear systems with uncertainties and external disturbances [22]. It offers advantages such as good tracking performance, fast response, robustness against external disturbances and uncertainties, and suitable transient response [23][24][25]. However, a major drawback of this approach are the high-frequency finite amplitude oscillations or chattering phenomena [26].…”
Section: Background and Motivationmentioning
confidence: 99%
“…In order to overcome the limitations of linear control methods, more and more researchers have begun to devote themselves to the research of nonlinear control methods. Among them, the methods applied to aerial robot systems mainly include sliding mode control [19,20] (SMC), backstepping [21], model predictive control (MPC) [22,23], active disturbance rejection control [24,25] (ADRC), and intelligent control [26][27][28].…”
Section: Introductionmentioning
confidence: 99%