2022
DOI: 10.1002/asjc.2779
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Disturbance observer‐based tracking control with prescribed performance specifications for a class of nonlinear systems subject to mismatched disturbances

Abstract: This work investigates simultaneous prescribed performance tracking control and mismatched disturbance rejection problems for a class of strict‐feedback nonlinear systems. A novel control scheme combining prescribed performance control, disturbance observer technique, and backstepping method is proposed. The disturbance estimations are introduced into the design of virtual control law design in each step to compensate the mismatched disturbances. To further improve the control performance, a prescribed perform… Show more

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Cited by 15 publications
(18 citation statements)
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“…According to (7), the transfer function between lumped disturbance f and disturbance estimation f can be derived…”
Section: Nested Extended State Observermentioning
confidence: 99%
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“…According to (7), the transfer function between lumped disturbance f and disturbance estimation f can be derived…”
Section: Nested Extended State Observermentioning
confidence: 99%
“…[1][2][3] Unknown input observer (UIO), sliding mode observer (SMO), disturbance observer (DO), and extended state observer (ESO) are among the many emergent observer design methods for uncertain nonlinear systems, and many variants have been proposed to deal with different application scenarios. [4][5][6][7] UIO could provide inherent attenuation against unwanted external signal influence via a particular coordination transform. However, the occurrence of coordinate transformation is dependent on observer matching conditions, which is in practice limited.…”
Section: Introductionmentioning
confidence: 99%
“…However, since the robotic manipulator is a system with nonlinear and complex perturbations, the actual control is susceptible to modeling errors, friction, and external disturbances, which all increase the difficulty of control. In response to the problems of nonlinear systems, scholars have developed different control methods to improve them, such as neural network control [3,4], fuzzy control methods [5][6][7][8][9], backstepping control methods [10][11][12], and sliding mode control (SMC) methods [13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…Disturbances widely exist in actual engineering systems, which brings unfavorable effects on system performances; thus, antidisturbance problems have become one of research highlights (Hao et al, 2019;Wei et al, 2016Wei et al, , 2020Yao et al, 2021;Zhang et al, 2017Zhang et al, , 2021. Due to the superiorities of higher accuracy, stronger flexibility, and simpler structure, disturbance observer-based control (DOBC) has been extensively applied to deal with disturbances (Han et al, 2017;Javaid and Dong, 2021;Zhou et al, 2023). Its main principle is to estimate disturbances via the disturbance observer and immediately compensate disturbances in feed-forward path.…”
Section: Introductionmentioning
confidence: 99%