Field-oriented control based on parallel proportional–integral controllers of induction motor drive

Zellouma, Dalal; Bekakra, Youcef; Benbouhenni, Habib

doi:10.1016/j.egyr.2023.04.008

Cited by 20 publications

(9 citation statements)

References 51 publications

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“…Hence, multiphase machines cover an extensive power range, enabling them to be used in various fields such as electric aircraft, naval propulsion, electric and hybrid vehicles and high-power industrial applications (Levi, 2008;Salem and Narimani, 2019). In terms of control, many techniques of methods have been developed for simple three-phase machines, such as field-oriented control (FOC) (Zellouma et al, 2023), predictive control (Stando and Kazmierkowski, 2020) and the backstepping technique (Saad et al, 2019), which can be extended to multiphase induction machines by further exploiting the additional degrees of freedom of multiphase machines (Liu et al, 2018). These techniques offer good dynamic performance.…”

Section: Introductionmentioning

confidence: 99%

Novel Speed Sensorless DTC Design for a Five-Phase Induction Motor with an Intelligent Fractional Order Controller Based-MRAS Estimator

Guedida,

Tabbache,

Benzaoui

et al. 2024

Power Electronics and Drives

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This paper presents a fractional-order adaptive mechanism-based model reference adaptive system (MRAS) configuration for speed estimation of sensorless direct torque control (DTC) of a five-phase induction motor. In effect, the fractional-order proportional-integral (FOPI) controller parameters are obtained by the particle swarm optimisation (PSO) algorithm to enhance the MRAS observer response. Thus, the developed algorithm in the speed loop control of the DTC strategy to increase its robustness against disturbances. Moreover, a comparative study has been done of the proposed MRAS-PSO/FOPI speed estimator with the conventional MRAS-proportional-integral (PI) and the PSO-based MRAS-PI. Simulation results have carried out of the different controllers used in the adaptation mechanism of the MRAS estimator, to show the performance and robustness of the proposed MRAS-PSO/FOPI algorithm in use.

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Section: Introductionmentioning

confidence: 99%

Novel Speed Sensorless DTC Design for a Five-Phase Induction Motor with an Intelligent Fractional Order Controller Based-MRAS Estimator

Guedida,

Tabbache,

Benzaoui

et al. 2024

Power Electronics and Drives

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“…The flux angle is required for the conversion to occur, a challenging parameter to measure directly due to the difficulty of placing a flux sensor inside the machine’s air gap. Additionally, another limitation is associated with the machine’s susceptibility to variations in parameters 6 . On the other hand, direct torque control (DTC) represents an alternative method that guarantees independent and isolated control of flux and torque, in contrast to FOC, this control operations exclusively within a stationary frame 7 .…”

Section: Introductionmentioning

confidence: 99%

Optimizing electric vehicle powertrains peak performance with robust predictive direct torque control of induction motors: a practical approach and experimental validation

Kasri,

Ouari,

Belkhier

et al. 2024

Sci Rep

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Enhancing the efficiency of the electric vehicle’s powertrain becomes a crucial focus, wherein the control system for the traction motor plays a significant role. This paper presents a novel electric vehicle traction motor control system based on a robust predictive direct torque control approach, an improved version of the conventional DTC, where the traditional switching table and the hysteresis regulators are substituted with a predictive block based on an optimization algorithm. Additionally, a robust predictive speed loop regulator is employed instead of the proportional-integral regulator, which integrates a new cost function with a finite horizon, incorporating integral action into the control law based on a Taylor series expansion. This technique’s primary benefit is its independence from the necessity to measure and observe external disturbances, as well as uncertainties related to parameters. The effectiveness of the suggested system was confirmed through simulation and experimental results under the OPAL-RT platform. The findings indicate that the proposed approach outperforms the conventional method in terms of rejecting disturbances, exhibiting robustness to variations in parameters, and minimizing torque ripple.

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“…This strategy is designed to handle all types of uncertainties and external disturbances that may arise in the system dynamics. This work is compared to existing works in the same area, as referenced in [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. The suggested research aims to address complex non-linear control issues with fewer assumptions compared to the existing literature.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast to the references mentioned in [30][31][32][33][34], the proposed controller is more flexible, as it does not require any knowledge of the mathematical model. On the other hand, the suggested controller takes a systematic approach to handling unknown uncertainties and external disturbances.…”

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confidence: 99%

Robust Control Based on Adaptative Fuzzy Control of Double-Star Permanent Synchronous Motor Supplied by PWM Inverters for Electric Propulsion of Ships

Ziane,

Zeghlache,

Benkhoris

et al. 2024

Mathematics

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This study presents the development of an adaptive fuzzy control strategy for double-star PMSM-PWM inverters used in ship electrical propulsion. The approach addresses the current and speed tracking challenges of double-star permanent magnet synchronous motors (DSPMSMs) in the presence of parametric uncertainties. Initially, a modeling technique employing a matrix transformation method is introduced, generating decoupled and independent star windings to eliminate inductive couplings, while maintaining model consistency and torque control. The precise DSPMSM model serves as the foundation for an unknown nonlinear backstepping controller, approximated directly using an adaptive fuzzy controller. Through the Lyapunov direct method, system stability is demonstrated. All signals in the closed-loop system are ensured to be uniformly ultimately bounded (UUB). The proposed control system aims for low tracking errors, while also mitigating the impact of parametric uncertainties. The effectiveness of the adaptive fuzzy nonlinear control system is validated through tests conducted in hardware-in-the-loop (HIL) simulations, utilizing the OPAL-RT platform, OP4510.

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Field-oriented control based on parallel proportional–integral controllers of induction motor drive

Cited by 20 publications

References 51 publications

Novel Speed Sensorless DTC Design for a Five-Phase Induction Motor with an Intelligent Fractional Order Controller Based-MRAS Estimator

Novel Speed Sensorless DTC Design for a Five-Phase Induction Motor with an Intelligent Fractional Order Controller Based-MRAS Estimator

Optimizing electric vehicle powertrains peak performance with robust predictive direct torque control of induction motors: a practical approach and experimental validation

Robust Control Based on Adaptative Fuzzy Control of Double-Star Permanent Synchronous Motor Supplied by PWM Inverters for Electric Propulsion of Ships

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