Enhancement of Space Vector Modulation Based-Direct Torque Control Using Fuzzy PI Controller for Doubly Star Induction Motor

Hassen, Reghioui; Belhamdi, Saad; Abdelkarim, Ammar; Hellali, Lallouani

doi:10.18280/ama_c.742-404

Cited by 4 publications

(3 citation statements)

References 15 publications

(17 reference statements)

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“…Type 2 fuzzy systems address this issue by incorporating uncertainties using fuzzy sets of type 2. In type 2 fuzzy sets, the membership values are themselves fuzzy sets of type 1 [9].…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, a DSIM powered by two 2-level inverters utilizes a single DTC-SVM system founded on IT2FLC regulators. Furthermore, [9] introduced a DTC-SVM approach that employs type 1 fuzzy logic. The main aim of this investigation is to explore direct torque control for a dual star induction machine with space vector modulation that utilizes interval type 2 fuzzy logic regulators, which are powered by two three-level neutral point clamped inverters.…”

Section: Introductionmentioning

confidence: 99%

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Direct Torque Control With Space Vector Modulation Using Interval Type 2 Fuzzy Logic Regulators of Dual Star Induction Machine Fed by Two Three-Level Neutral Point Clamped Inverter

OUSSAMA,

LALLOUANI,

SAAD

2024

RRST-EE

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This paper introduces a direct torque control (DTC) method with space vector modulation (SVM) using interval type-2 fuzzy logic regulators for a dual-star induction machine fed by two three-level neutral point clamped inverters. The conventional DTC drive utilizes a pair of hysteresis comparators, which can lead to issues such as high torque ripple and variable switching frequency. As a result, we introduce several alternative methods, including DTC-SVM. We replace the hysteresis comparators with two Proportional-Integral (PI) regulators to enhance DTC performance, which generates the direct and quadrature voltage components in the d-q frame. The intricacy of the control system can make adjusting the PI regulator parameters difficult. To address this challenge, we propose using an interval type-2 fuzzy logic regulator for PI parameter adjustment in this paper. Our simulation results demonstrate the robustness and efficiency of the IT2FLC regulator.

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“…Type 2 fuzzy systems address this issue by incorporating uncertainties using fuzzy sets of type 2. In type 2 fuzzy sets, the membership values are themselves fuzzy sets of type 1 [9].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Direct Torque Control With Space Vector Modulation Using Interval Type 2 Fuzzy Logic Regulators of Dual Star Induction Machine Fed by Two Three-Level Neutral Point Clamped Inverter

OUSSAMA,

LALLOUANI,

SAAD

2024

RRST-EE

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“…In [47], four-level DFTC control was proposed to control the PMSM drives. In [48], a modified DFTC technique was proposed based on traditional SVM, where four PI controllers were used to control the torque and flux of DSIM drives.…”

Section: Introductionmentioning

confidence: 99%

Application of Fractional-Order Second-Order Continuous Sliding Mode Controller in Direct Flux and Torque Control System of Doubly-Fed Induction Generator Integratedto Wind Turbine: Simulation Studies

Almakki¹,

Mazalov²

2021

Vestnik GUMRF imeni admirala S. O. Makarova

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A new nonlinear controller for direct flux and torque control (DFTC) of a doubly-fed induction generator (DFIG) based on a single-rotor wind turbine (SRWT) using the fractional-order second-order continuous sliding mode (FOSOCSM) controller is presented in this paper. Three different controllers are proposed to control the electromagnetic torque and rotor flux of the doubly-fed induction generator driven by a single-rotor wind turbine. The main goal of the proposed DFTC control structure is to improve the quality of the electromagnetic torque and stator current of the SRWT system by reducing electromagnetic torque undulations, stator current, and rotor flux undulations in the DFIG-SRWT systems. The mathematical model of the DFIG has been described. The descriptions of the modified space vector modulation (MSVM) strategy and the proposed FOSOCSM controller have been presented. The DFTC-MSVM control structure with proposed FOSOCSM controllers has been described. This proposed strategy has been shown to be robust and stable against parametric uncertainties and load electromagnetic torque. The validity, robustness, and effectiveness of the proposed DFTC-FOSOCSM technique are demonstrated through simulation studies in the MATLAB® software environment. Numerical simulation results demonstrate that the proposed DFTC control scheme with proposed FOSOCSM controllers has a faster transient response than traditional DFTC and DFTC with classical SOCSM controllers. Also, it reduces ripples in both electromagnetic torque of stator current, and rotor flux significantly compared to the classic technique and DFTC with traditional SOCSM controllers.

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Intelligent Adaptation Mechanism of Full-Order Luenberger Observer based on Fuzzy Logic Applied to Direct Control by Flux Orientation without Speed Sensor for Doubly Fed Induction Motor

Cherifi,

Miloud

2024

Wseas Transactions on Systems and Control

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The present work focused on the control by flow orientation without mechanical sensors on the doubly fed induction motor by the use of artificial intelligence techniques. Our main contribution lies in the development of control methodologies to improve control by flux orientation, for this, we acted on the type and control of inverters by the use of multilevel inverters and then on the observation technique of rotor speed based on the high gain Luenberger observer and improvements to the speed adaptation mechanism using fuzzy logic. Simulation tests of the proposed improvement approach were carried out at the end of this work to verify the behavior of this system in the face of different types of training.

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Enhancement of Space Vector Modulation Based-Direct Torque Control Using Fuzzy PI Controller for Doubly Star Induction Motor

Cited by 4 publications

References 15 publications

Direct Torque Control With Space Vector Modulation Using Interval Type 2 Fuzzy Logic Regulators of Dual Star Induction Machine Fed by Two Three-Level Neutral Point Clamped Inverter

Direct Torque Control With Space Vector Modulation Using Interval Type 2 Fuzzy Logic Regulators of Dual Star Induction Machine Fed by Two Three-Level Neutral Point Clamped Inverter

Application of Fractional-Order Second-Order Continuous Sliding Mode Controller in Direct Flux and Torque Control System of Doubly-Fed Induction Generator Integratedto Wind Turbine: Simulation Studies

Intelligent Adaptation Mechanism of Full-Order Luenberger Observer based on Fuzzy Logic Applied to Direct Control by Flux Orientation without Speed Sensor for Doubly Fed Induction Motor

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