2011
DOI: 10.1016/j.isatra.2010.12.008
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Backstepping sliding mode tracking control of a vane-type air motor table motion system

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Cited by 40 publications
(18 citation statements)
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References 10 publications
(14 reference statements)
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“…Design procedure of backstepping was based on the Lyapunov stability theorem with dividing into many subsystems of nonlinear dynamics. To improve the robustness of backstepping control, backstepping sliding mode control have been researched (Lu, et al, 2011;Li and Hu, 2011). In backstepping sliding mode control, the nonlinear system is divided into many subsystems.…”
Section: Introductionmentioning
confidence: 99%
“…Design procedure of backstepping was based on the Lyapunov stability theorem with dividing into many subsystems of nonlinear dynamics. To improve the robustness of backstepping control, backstepping sliding mode control have been researched (Lu, et al, 2011;Li and Hu, 2011). In backstepping sliding mode control, the nonlinear system is divided into many subsystems.…”
Section: Introductionmentioning
confidence: 99%
“…Some researchers [6,8,9] have mentioned that a sliding mode controller can prove very robust for pneumatic motion applications but there could be a chattering phenomenon when the system is approaching a sliding surface. In the last decade, various backstepping non-linear design methodologies have been proposed [10][11][12][13][14][15][16][17] in order to reduce serious chattering in a pneumatic non-linear system and there has been increased effort attempting to use backstepping control for industrial applications. In this study, we propose a new controller that utilizes a non-linear robust backstepping design with a reference model for industrial tracking position control on a ball screw table: Fig.…”
Section: Introductionmentioning
confidence: 99%
“…developed in recent decades [13][14][15][16][17][18][19][20][21][22] is an advanced control approach including recursive feedback control, Lyapunov stability and adaptive law. In [19,20], the ABC is also combined with neural and fuzzy integral action.…”
mentioning
confidence: 99%
“…It is shown in [18] that the ABC is superior to PI/PD or PID controller in its robustness against system uncertainties. Therefore ABC has been successfully applied to inverted pendulum, robot manipulator, jet engine, helicopter, and induction motor drive [13][14][15][16][17][18][19][20][21]. In this paper, a regular ABC and a novel adaptive observer based back stepping controller (AOBC) are developed on the AMB system respectively.…”
mentioning
confidence: 99%
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