2016 IEEE Conference on Control Applications (CCA) 2016
DOI: 10.1109/cca.2016.7587902
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Lateral motorcycle dynamics and rider action estimation: An LPV unknown input observer approach

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Cited by 11 publications
(11 citation statements)
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“…In 2008, precursor work was published about state estimation for motorcycles in [14]. In a first time, researchers have commonly addressed the estimation of the lean angle [15], [16], [17] and rapidly the aim was to estimate the whole dynamics states [18], [19] and more recently in [20] and [21]. These works dealing with P2WV dynamics estimation highlight the strong potential of these techniques.…”
Section: Motivation and Contextmentioning
confidence: 99%
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“…In 2008, precursor work was published about state estimation for motorcycles in [14]. In a first time, researchers have commonly addressed the estimation of the lean angle [15], [16], [17] and rapidly the aim was to estimate the whole dynamics states [18], [19] and more recently in [20] and [21]. These works dealing with P2WV dynamics estimation highlight the strong potential of these techniques.…”
Section: Motivation and Contextmentioning
confidence: 99%
“…Indeed, even if strain gauges can give an idea about this torque, it is currently impossible to identify the distribution between the pure rider's action and the road aligning moment contribution. In this context, several complex approaches were investigated as in [21] and [25]. In the latter, the authors proposed the use of an unknown input observers to bypass the unmeasurability of τ.…”
Section: B Augmented Modelmentioning
confidence: 99%
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“…r represents the number of local submodels defines by r = 2 n ρ where n ρ = 2 is the number of non-linearities (for more details, please refer to [15], [20], [21]) . Then the sector nonlinear approach is used to transform the problem into a (TS) form :…”
Section: B Polytopic Representationmentioning
confidence: 99%
“…Among all the litterature, one can cite [1] and [2] where authors adressed longitudinal dynamic estimation whereas in [3], [4], [5], [6], [7] and [8] authors designed observers for lateral dynamics. An important difficulty during the observer's design for PTWV is the uncertainty of some parameters like the tire's properties (camber stiffness, cornering stiffness, radius of the wheel, etc.…”
Section: Introductionmentioning
confidence: 99%