Adaptive Type-2 Fuzzy Second Order Sliding Mode Control for Nonlinear Uncertain Chaotic System

Hendel, Rim; Khaber, Farid; Essounbouli, Najib

doi:10.5121/ijcsitce.2015.2401

Cited by 7 publications

(6 citation statements)

References 22 publications

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“…However, this technique is able to use human reasoning not in terms of discrete symbols and numbers, but in terms of fuzzy sets. These terms are quite flexible with respect to the definition and values [18].…”

Section: Fuzzy Pulse Width Modulationmentioning

confidence: 99%

FPWM Technique Based Converter for Im Drives

Benbouhenni¹,

Audin²

2019

AEI

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This article presents an improved pulse width modulation (PWM) based on fuzzy logic (FL) of induction motor (IM). The major problem that is usually associated with PWM technique is the high total harmonic distortion (THD), stator flux ripple and electromagnetic torque ripples. To overcome these problems a PWM strategy is proposed based on the fuzzy logic controller (FPWM). The fuzzy proposed controller is shown to be able to reduce the THD of stator current, electromagnetic torque ripple and stator flux ripple. The simulation results are shown by using MATLAB/SIMULINK software. BIOGRAPHYHabib Benbouhenni was born in chlef, Algeria. He is a PhD student in the Departement of electrical engineering at the ENPO-MA, Oran, Algeria. He received a M.S. degree in Automatic and informatics industrial in 2017. His research activities include the application of robust command in the wind turbine power systems.

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Section: Fuzzy Pulse Width Modulationmentioning

confidence: 99%

FPWM Technique Based Converter for Im Drives

Benbouhenni¹,

Audin²

2019

AEI

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“…This technique is able to use human reasoning not in terms of discrete symbols and numbers, but in terms of fuzzy sets. These terms are quite flexible with respect to the definition and values [28]. To obtain high-performance DFIG machine a robust and simple second order sliding mode controller based on the FL controller is designed to command and regulate the reactive and active power.…”

Section: Introductionmentioning

confidence: 99%

Comparison study between SVPWM and FSVPWM strategy in fuzzy second order sliding mode control of a DFIG-based wind turbine

Benbouhenni

2019

Carpathian Journal of Electronic and Computer Engineering

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In this work, we present a new fuzzy second-order sliding mode controller (FSOSMC) for wind power transformation system based on a doubly-fed induction generator (DFIG) using intelligent space vector pulse width modulation (SVPWM). The proposed command strategy combines a fuzzy logic and a second order sliding mode control (SOSMC) for the DFIG command. This strategy presents attractive features such as chattering-free, compared to the conventional first and second order sliding mode techniques. The use of this method provides very satisfactory performance for the DFIG command. The effectiveness of this command strategy is proven through the simulation results.

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“…However, employing this method is limited to nonlinear system of the problem. Hendel et al (Hendel, Khaber, & Essounbouli, 2015) have used HOSM to reduce chattering of an uncertain system and approximated uncertain part of the system using type-II fuzzy logic. The simulated the method on a system with two state variables.…”

Section: Introductiónmentioning

confidence: 99%

Hybrid robust controller based on interval type 2 fuzzy neural network and higher order sliding mode for robotic manipulators

Nodeh

Ghasemi

Daniali

2019

Nexo Revista Científica

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Industrial arms should be able to perform their duties in environments where unpredictable conditions and perturbations are present. In this paper, controlling a robotic manipulator is intended under significant external perturbations and parametric uncertainties. Type-2 fuzzy logic is an appropriate choice in the face of uncertain environments, for various reasons, including utilizing fuzzy membership functions. Also, using the neural network (NN) can increase robustness of the controller. Although neural network does not basically need to build its type-2 fuzzy rules, the initial rules based on sliding surface of higher order sliding mode controller (HOSMC) can improve the system's performance. In addition, self-regulation feature of the controller, which is based on the existence of the neural network in the central type-2 fuzzy controller block, increases the robustness of the method even more. Effective performance of the proposed controller (IT2FNN-HOSMC) is shown under various perturbations in numerical simulations.

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Adaptive Type-2 Fuzzy Second Order Sliding Mode Control for Nonlinear Uncertain Chaotic System

Abstract: ABSTRACT

Cited by 7 publications

References 22 publications

FPWM Technique Based Converter for Im Drives

FPWM Technique Based Converter for Im Drives

Comparison study between SVPWM and FSVPWM strategy in fuzzy second order sliding mode control of a DFIG-based wind turbine

Hybrid robust controller based on interval type 2 fuzzy neural network and higher order sliding mode for robotic manipulators

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