Adaptive optimized
            <scp>DTC‐SVM</scp>
            using metaheuristic Bat algorithm for
            <scp>DSIM</scp>
            fed by
            <scp>IMC</scp>
            based on robust synergetic speed controller

Moati, Yahia; Kouzi, Katia; Iqbal, Atif

doi:10.1002/2050-7038.12697

Cited by 4 publications

(3 citation statements)

References 40 publications

(48 reference statements)

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“…This means that the voltage vector chosen from the conventional switching table in DTC may not necessarily be the most effective in terms of reducing torque and flux ripples. Consequently, it becomes possible to evaluate the effects of each voltage vector and select one that minimizes the cost function [13] [1].…”

Section: Predictive Dtc Controlmentioning

confidence: 99%

“…In recent times, double star permanent magnet synchronous motors have experienced a surge in demand due to their significant advantages over conventional three-phase machines. These benefits include high reliability, the capability to function in one or two phases in the event of a fault, reduced capacity, and increased frequency [5] [12] [13]. Additionally, these motors, by mitigating pulsing torque and reducing current per phase, find extensive use in numerous high-power applications, notably in the realms of high-power hybrid electric vehicles, aviation, as well as the propulsion systems of electric locomotives and ships [4] [7].…”

Section: Introductionmentioning

confidence: 99%

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Investigation of predictive direct torque control of Double Star permanent magnet synchronous machine (DSPMSM)

Ghibeche,

Kouzi,

Difi

et al. 2024

SEES

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In order to enhance the performance of Direct Torque Control (DTC) applied to a double-star permanent magnet synchronous machine (DSPMSM) in termes to reduce the ripples of torque and current, in this work we propose a Predictive DTC Control for DSPMSM. The primary objective of this control approach is to eliminate the hysteresis controllers and vector selection table commonly found in conventional DTC, addressing associated issues. This innovative strategy relies on Proportional-Integral (PI) controllers and Predictive Control, with both inverters operating at a constant frequency. In the proposed Predictive DTC Control, the predictive model is used to forecast the future behavior of the machine’s torque and current. This allows the control system to make more informed decisions regarding the optimal voltage vectors to apply, minimizing ripples and enhancing the dynamic response. The simulation results, obtained from Matlab/Simulink, demonstrate a significant improvement in the performance of the DSPMSM when using the proposed method. Key metrics such as torque ripple, current ripple, and overall system efficiency were analyzed, showing favorable outcomes compared to conventional DTC methods. The study underscores the potential of predictive control in advancing the performance of DTC systems for DSPMSMs. By leveraging the capabilities of predictive modeling and PI controllers, the proposed method not only addresses the limitations of conventional DTC but also paves the way for more advanced and reliable control strategies in electric drive applications. The findings suggest that the implementation of Predictive DTC Control could lead to more robust and efficient motor drives, which are critical for various industrial applications requiring precise and stable torque control.

show abstract

Section: Predictive Dtc Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigation of predictive direct torque control of Double Star permanent magnet synchronous machine (DSPMSM)

Ghibeche,

Kouzi,

Difi

et al. 2024

SEES

Self Cite

View full text Add to dashboard Cite

show abstract

“…The simpler and effective solutions that exist nowadays in the majority of engineering control applications employ proportional integral derivative (PID) in the regulation loop [13]. On the other hand, lots of nonlinear control laws have been proposed including sliding mode control (SMC) [14,15], synergetic control [16][17][18], predictive control [19], backstepping control [20,21], and high-order SMC techniques [5]. In addition, the response and the speed dynamic of a system can be improved using intelligent techniques, such as fuzzy logic and neural networks [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Optimal Fractional Order Proportional Integral Controller for Dual Star Induction Motor Based on Particle Swarm Optimization Algorithm

Terfia,

Rezgui,

Mendaci

et al. 2023

JESA

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The purpose of this paper is to improve the performance of the conventional direct torque control (DTC) method of a dual star induction motor (DSIM) by enhancing speed control and reducing the ripples of electromagnetic torque and stator current. To achieve this, we propose a new optimal tuned controller based on the combination of a fractional order proportional integral controller (FOPI) and particle swarm optimization (PSO) algorithm. The aim of this high-performance controller is to reduce the rise time, settling time, steadystate error, and effects of load disturbances in the speed response of the DSIM, as well as minimize oscillations in the torque and stator currents, particularly at low speeds. This strategy named DTC-FOPI-PSO will be investigated, and its performances will be compared with the traditional DTC strategy based on the classical PI controller. Simulation tests using MATLAB/Simulink software are conducted under different operating conditions to demonstrate that the proposed DTC-FOPI-PSO strategy has a direct impact on improving speed dynamic, reducing torque fluctuations, minimizing steady-state error and provides excellent performance for load variation and reference speed inversion.

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Model predictive control for hydrogen fuel cell–driven multi-level permanent magnet synchronous motor drive

Cellamuthu,

Jayakumar,

Chokkalingam

et al. 2024

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Adaptive optimized DTC‐SVM using metaheuristic Bat algorithm for DSIM fed by IMC based on robust synergetic speed controller

Cited by 4 publications

References 40 publications

Investigation of predictive direct torque control of Double Star permanent magnet synchronous machine (DSPMSM)

Investigation of predictive direct torque control of Double Star permanent magnet synchronous machine (DSPMSM)

Optimal Fractional Order Proportional Integral Controller for Dual Star Induction Motor Based on Particle Swarm Optimization Algorithm

Model predictive control for hydrogen fuel cell–driven multi-level permanent magnet synchronous motor drive

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