1999
DOI: 10.1080/002071799221091
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Friction compensation using adaptive non-linear control with persistent excitation

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Cited by 36 publications
(12 citation statements)
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“…This method of friction cancellation has already been proven in other applications, e.g. by Ray et al [15,17].…”
Section: B Observer Designmentioning
confidence: 91%
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“…This method of friction cancellation has already been proven in other applications, e.g. by Ray et al [15,17].…”
Section: B Observer Designmentioning
confidence: 91%
“…Due to uncontrollable variations in humidity, temperature, wear or lubricant condition these parameters have to be identified online to ensure a constant performance. For the relatively simple Dahl and LuGre model this has already been achieved [4,15,17]. However, estimating simultaneous all model parameters is a challenging task, due to the fact that almost all "physically motivated" dynamic friction models contain parameters that appear nonlinear in the model equations.…”
Section: Introductionmentioning
confidence: 99%
“…It is similar in structure to the adaptive controller proposed in [6] for the LuGre friction model, which makes use of the convex/concave property of friction parameters [7]. However, to deal with nonlinearly occurring parameters, [6] employs a special tuning signal that complicates stability proof and computation of adaptive control laws.…”
Section: Introductionmentioning
confidence: 96%
“…Similar to [6], the persistently exciting condition of the desired trajectory is used to maintain robustness to dynamic perturbations, which are considered as system disturbances. As all parameters in the friction model now appear linearly, the special tuning signal is no longer required, and the determination of adaptive control laws is simplified.…”
Section: Introductionmentioning
confidence: 99%
“…[3]. Nonlinearly parametrized systems also appear when using a visual servoing system to control the motion of a robot [4], [5], [6], [7], [8], [9] and in friction compensation problems [10], [11], [12], [13]. Nonlinear parametrizations appear even in very simple RLC circuits and have a large extent of utility.…”
Section: Introductionmentioning
confidence: 99%