2019Unpublished venueRequires access

Backstepping Control of Nonlinear Uncertain System Using Sliding Mode Differentiator

Fatma Massaoudi, Dorssaf Elleuch, Tarak Damak

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Abstract

This paper deals with a sliding mode differentiator based-backstepping control applied to a nonlinear uncertain dynamic system. The differentiator is integrated in order to estimate the tracking error derivatives. The principal goals of this method are ameliorating control performance and minimizing sensors number. Two types of tracking error are studied: a classical form and a PID form. Simulation results prove the control technique robustness against parametric uncertainties for both types of error tracking.

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What this paper is about

This paper deals with a sliding mode differentiator based-backstepping control applied to a nonlinear uncertain dynamic system. The differentiator is integrated in order to estimate the tracking error derivatives. The principal goals of this method are ameliorating control performance and minimizing sensors number. Two types of tracking error are studied: a classical form and a PID form. Simulation results prove the control technique robustness against parametric uncertainties for both types of error tracking.

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Available abstract

This paper deals with a sliding mode differentiator based-backstepping control applied to a nonlinear uncertain dynamic system. The differentiator is integrated in order to estimate the tracking error derivatives. The principal goals of this method are ameliorating control performance and minimizing sensors number. Two types of tracking error are studied: a classical form and a PID form. Simulation results prove the control technique robustness against parametric uncertainties for both types of error tracking.

Key concepts: Differentiator, Backstepping, Control theory (sociology), Robustness (evolution), Nonlinear system, Tracking error, Parametric statistics, Strict-feedback form

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