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arXiv · 1708.09134

A New Super-Twisting Algorithm-Based Sliding Mode Observer Design for Fault Estimation in a Class of Nonlinear Fractional Order Systems

Seyed Mohammad Moein Mousavi·Amin Ramezani·HamidReza Momeni
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Abstract

This paper is concerned with fault estimation in a class of nonlinear fractional order systems using a new super twisting algorithm based second order step by step sliding mode observer. Since the existing sliding mode observers are troubled with the chattering phenomenon, here a new observer structure is proposed and finite time convergence of error dynamics is proved using fractional order super twisting algorithm (FSTA). Two numerical examples of chaotic fractional order systems and a comparison with respect to a similar observer justify the effectiveness of the proposed observer

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Seyed Mohammad Moein Mousavi, Amin Ramezani, HamidReza Momeni. 2018-06-26. A New Super-Twisting Algorithm-Based Sliding Mode Observer Design for Fault Estimation in a Class of Nonlinear Fractional Order Systems. https://arxiv.org/abs/1708.09134

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