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Conference Papers Year : 2016

An adaptive fuzzy PID control for a class of uncertain nonlinear underactuated systems

Abstract

In this work an adaptive PID control law is used to approximate a model-based robust sliding mode control law to deal with a class of uncertain underactuated nonlinear systems. Therefore, a fuzzy system is used to learn online the ideal PID control gains regarding the desired performances. So, the fuzzy system parameters are adjusted online by a robust adaptation law in order to minimize the error between the unknown ideal controller and the PID controller. The stability of the closed-loop system is proven analytically based on the Lyapunov approach. A simulation example is presented to illustrate the efficiency of the proposed approach.
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Dates and versions

hal-01469499 , version 1 (16-02-2017)

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Nidhal Cherrat, Hamid Boubertakh, Hichem Arioui. An adaptive fuzzy PID control for a class of uncertain nonlinear underactuated systems. 8th International Conference on Modelling, Identification and Control (ICMIC 2016), Nov 2016, 8th International Conference on Modelling, Identification and Control (ICMIC 2016), Algeria. pp.677--682, ⟨10.1109/ICMIC.2016.7804197⟩. ⟨hal-01469499⟩
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