Robust Finite-Time Controllers for Magnetic Levitation System  Via Second Order Sliding Modes

Siricharuanun, Pimchana; Pukdeboon, Chutiphon

doi:10.15866/ireaco.v10i2.11149

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2018

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“…Finite-time stabilization issues of nonlinear plants have been investigated. Systems which can be represented by affine fuzzy systems were considered in [24], the class Lur'e type systems in [5] and uncertain systems in [29], [30]. Although the encouraging works in the field, investigations about the effect of the sampling technique on the system performance in term of stability and finite-time stabilization were not included.…”

Section: Introductionmentioning

confidence: 99%

On the Sampling and the Performance Comparison of Controlled LTI Systems

Fekih¹,

Sfaihi²,

Benrejeb³

2018

ijacsa

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In this paper, the impact of the discretization techniques and the sampling time, on the finite-time stabilization of sampled-data controlled Linear Time Invariant (LTI) systems, is investigated. To stabilize the process in finite time, a discretetime feedback dead-beat controller is designed for the sampleddata system. Checkable conditions on the approximate discretetime plant model and the associated controller that guarantee the finite-time stabilization of the exact model are developed. The trade-off between the discretization technique, the sampling time and the desired performances is illustrated and discussed. Results are presented through a case study.

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Section: Introductionmentioning

confidence: 99%