Hybrid Type-2 Fuzzy Sliding Mode Control of a Doubly-Fed Induction Machine (DFIM)

Herizi, Abdelghafour; Bouguerra, Abderrahmen; Zeghlache, Samir; Rouabhi, Riyadh

doi:10.18280/ama_c.742-401

Cited by 3 publications

(5 citation statements)

References 12 publications

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“…Different tests will be applied to show the performance of this control, namely, the variation of the torque, speed and the parametric variation rotor resistance. Parameters of the DFIM used is in [3].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…A three-phase asynchronous machine wound rotor supplied by two voltage sources, one at the stator and the other at the rotor, has been the subject of numerous investigations. This device is known as a doubly fed induction motor "DFIM" [3], have recently been published. The latter is a great alternative for high power and variable speed drives, thanks to the development of power electronics equipment and the appearance of new control approaches.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller

Herizi¹,

Rouabhi²,

Abderrahim³

2023

Diagnostyka

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The control of the doubly-fed induction motor is a complex operation because of this motor characterised by a non-linear multivariable dynamics, having settings that change over time and a significant link between the mechanical component and magnetic behavior (flux) (speed and couple). This article then proposes a new strategy of a robust control of this motor, which is decoupled due to the stator flux's direction. The proposed control is integrated with the backstepping control which based on Lyapunov theory; this approach consists in constructively designing a control law of nonlinear systems by considering some state variables as being virtual commands, and the important branch of artificial intelligence type-2 fuzzy logic. The hybrid control backstepping-fuzzy logic consists in replacing the regulators applied to the backstepping control by regulators based on type-2 fuzzy logic. This control will be evaluated by numerous simulations where there is a parametric and non-parametric variation.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller

Herizi¹,

Rouabhi²,

Abderrahim³

2023

Diagnostyka

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“…We choose the pole compensation method in order to eliminate the zero of the transfer function leads to the following equality [24], [25].…”

Section: Indirect Stator Current Loop (Fc)mentioning

confidence: 99%

A robust new full control strategy without FOANR based on substitution method against nonlinear DFIG model for wind application

Boughazi

Abdesselam

Cherif

2022

IJPEDS

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In order to control the output power of wind application (WA) based on doubly fed induction generator (DFIG). The simple control (SC) strategy based on approaches via flux orientation and neglecting resistance (FOANR) to decoupled axes is the most common used in many previous studies, However this strategy FOANR present a linear synthesis, mainly to control DFIG simple model sensitive to internal and external disturbances, This research paper contribute to developed a robust new full control (FC) strategy based on substitution method (SM) to solving nonlinear coupled axes without FOANR to control nonlinear DFIG model, we use a proportional-integral (PI) controller by the most efficient method: indirect with double loop on each axis to control powers generated by DFIG and stator current directly, we check its performance and efficient compared to the same controller based on flux FOANR against DFIG nonlinear model.

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“…The objective of hybridizing robust nonlinear controls (sliding mode and higher order sliding mode, backstepping, input-output linearization...) with artificial intelligence techniques for example type 1 and 2 fuzzy systems is to develop a fault tolerant control technique that automatically accommodates the effect of faults that may appear on a system while being able to maintain nominal operation, and exploit the advantages of both techniques at the same time, and improve the performance of the system to be controlled (stability, precision, speed, robustness, etc.) [35].…”

Section: Prior Workmentioning

confidence: 99%

“…In the FTC, several researchers have developed hybrid techniques of electrical machines based on the hybrid fuzzysliding control:  Keltoum et al [41], and Abdelghafour et al [35] presented a strategy of control with sliding mode applied to the doubly-fed induction motor (DFIM), the strategy is to keep the part of the equivalent control then change the part of the switching with a fuzzy controller type 1 and type 2.…”

Section: Prior Workmentioning

confidence: 99%

Interval Type-2 Fuzzy Logic-Second Order Sliding Mode Based Fault Detection and Active Fault-Tolerant Control of Brushless DC Motor

Dilmi¹,

Bouguerra²,

Djrioui³

et al. 2021

JESA

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This paper addresses the detection of the short-circuit faults and the active fault tolerant control (AFTC) of the brushless direct current motor (BLDCM) based on the interval type-2 fuzzy-second order sliding mode. In this article, the main idea consists of using an algorithm to detect the fault in an electric current. This algorithm corrects the detected fault. In this study, a hybrid technique of fault tolerant control is proposed. This technique based on interval type 2 fuzzy logic and second order sliding mode. Also, it facilitates the procedures for setting and controlling the velocity of BLDCM. For that, a dynamic model for direct current has been established. Furthermore, short circuit faults have also been introduced between turns to test the robustness of the control laws. Finally, a theoretical analysis is presented and the simulations are presented in order to validate the proposed control strategy. The proposed AFTC can then achieve favorable tracking performance.

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Hybrid Type-2 Fuzzy Sliding Mode Control of a Doubly-Fed Induction Machine (DFIM)

Cited by 3 publications

References 12 publications

Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller

Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller

A robust new full control strategy without FOANR based on substitution method against nonlinear DFIG model for wind application

Interval Type-2 Fuzzy Logic-Second Order Sliding Mode Based Fault Detection and Active Fault-Tolerant Control of Brushless DC Motor

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