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A novel fuzzy sliding mode observer for suspension systems

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Abstract

This study presents a novel method to design an observer for nonlinear systems based on fuzzy sliding mode control. In general, there is no standard method for the observer design in nonlinear systems. The proposed observer can be used for a wide range of control systems and its estimates are desirable. In this work, an observer was designed for a nonlinear system as well as a nonlinear quarter vehicle suspension system, the equations of which were derived using Lagrange method, to determine the performance and efficiency. The sliding mode control was used for the nonlinear equations in question. Sliding mode control has long been applied to control systems with modeling uncertainty. This controller is of robust type; however, it has some problems. Fuzzy control is a popular method that can be combined with sliding mode control to solve some of its problems and improve the efficiency of the controller-observer system.

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Correspondence to Babak Taran.

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The authors declare that they have no conflict of interest.

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The authors have not received any funding from any organization.

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Authors’ contributions

Babak Taran: Methodology, Software, Writing; Amin Ramezani: Methodology, Resources, review & editing

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Taran, B., Ramezani, A. A novel fuzzy sliding mode observer for suspension systems. Int. J. Dynam. Control 10, 1889–1902 (2022). https://doi.org/10.1007/s40435-022-00957-x

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  • DOI: https://doi.org/10.1007/s40435-022-00957-x

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