2009
DOI: 10.1016/j.mechatronics.2008.12.006
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LuGre model-based friction compensation and positioning control for a pneumatic actuator using multi-objective output-feedback control via LMI optimization

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Cited by 63 publications
(38 citation statements)
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“…A solution must be proposed to improve the adaptability of the controller. Moreover, to achieve a higher precision for the posture, new friction models should be considered in the controller design, such as the LuGre model, which has been shown to be an effective model for the friction between the piston and cylinder wall (Khayati et al, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…A solution must be proposed to improve the adaptability of the controller. Moreover, to achieve a higher precision for the posture, new friction models should be considered in the controller design, such as the LuGre model, which has been shown to be an effective model for the friction between the piston and cylinder wall (Khayati et al, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…The LuGre friction model is selected due to its known simplicity and capability to model the Stribeck effect and rate‐dependent friction phenomena. () Under the LuGre model, the friction force F f is written Fffalse(xfalse)=σ0z+σ1truez˙+σ2truex˙ with rightz˙left=x˙σ0|x˙|g(x˙)zrightrightg(x˙)left=Fc+(FsFc)e(x˙/x˙s)2right where σ 0 , σ 1 , and σ 2 are constants representing the stiffness of the bristles, microdamping, and viscous friction, respectively, x is the sliding displacement of the inner friction plate and taken as x = y 0 − y with x =0 corresponding to the initial location of the sliding plates y 0 as illustrated in Figure (b), truex˙ the sliding velocity, truex˙s a constant modeling the Stribeck velocity, z an evolutionary variable, gfalse(truex˙false) a function that describes the Stribeck effect, F c the Coulomb friction force, and F s the magnitude of the Stribeck effect.…”
Section: Dynamic Modelmentioning
confidence: 99%
“…Simple linear friction models do not perform well in solving this problem. Nonlinear approaches have also been proposed [3][4][5] with more or less success, many of them being based on empirically collected data. In this paper a novel approach is presented, based on tensor product (TP) transformation.…”
Section: Introductionmentioning
confidence: 99%