Model-Predictive Control of Open-End Winding Synchronous Reluctance Motor Drives

Riccio, Jacopo; Rovere, Luca; Odhano, Shafiq; Nardo, Mauro Di; Zanchetta, Pericle

doi:10.1109/ecce50734.2022.9948193

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…In [36] similar to [34], a finite control set model predictive control method has been developed to improve the performance of a SynRM drive. The authors of [37] have presented model predictive control of SynRM drive configured in open-end winding.…”

Section: Literature Reviewmentioning

confidence: 99%

Model-free control-based vector control of synchronous reluctance motor

Selma

Bounadja

Belmadani

et al. 2023

Int. J. Dynam. Control

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The capacity to determine how the state variable system would behave during fixed-point and transition operations is a significant enhancement of the model-free control technique. This paper describes a vector control, also called field-oriented control (FOC) based on model-free control approach for a synchronous reluctance motor (SynRM). The high performance of the proposed model-free control (MFC)-based vector control of SynRM drive is evaluated and compared with (FOC) based on classical proportional-integral (PI) controller under diverse conditions. At last, the results reveal the suggested MFC's efficiency and technical advantages, as well as its advantages over the classical PI.

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Section: Literature Reviewmentioning

confidence: 99%

Model-free control-based vector control of synchronous reluctance motor

Selma

Bounadja

Belmadani

et al. 2023

Int. J. Dynam. Control

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“…33 Explorations into predictive control for open-end winding SynRM drive configurations have revealed the advantages of modifying the floating capacitor voltage levels to influence torque-speed characteristics. 34 Additionally, the introduction of a direct model predictive control strategy that employs a high sampling-to-switching frequency ratio has been proposed to enhance SynRM drive performance. 35 The design and control process of SynRMs using a cascade PID controller, refined with particle swarm optimization for parameter optimization, has been detailed as well.…”

Section: Literature Reviewmentioning

confidence: 99%

Improved performance and robustness of synchronous reluctance machine control using an advanced sliding mode and direct vector control

Selma,

Bounadja,

Belmadani

et al. 2023

Adv Control Appl

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This article focuses on improving the control approach for a synchronous reluctance motor (SynRM) drive powered by a two‐level pulse width modulation (PWM) inverter. While classical sliding mode control (SMC) has been extensively used in control system design, it comes with various drawbacks such as pronounced chattering effects, considerable transient state errors, and reduced robustness. These limitations hinder its practical applicability. To enhance the performance of the SynRM, this paper introduces a novel strategy that combines direct vector control (DVC) with advanced sliding mode control (ASMC), here referring to third‐order sliding mode command (TOSMC), for regulating speed and dq‐axis stator currents. The primary objective of this approach is to achieve precise and efficient control while minimizing total harmonic distortion (THD) in current and reducing output torque fluctuations. Notably, this strategy capitalizes on the strengths of TOSMC and DVC. The efficacy of the proposed control scheme is verified through two sets of thorough simulations realized in MATLAB/Simulink environment. The first set of simulations encompasses the load–torque test, where the motor is subjected to two different levels of load torque. The results from these tests showcase the control scheme's performance under varying load conditions. The second set of simulations involves the speed variation test, where intentional changes are applied to the motor's speed. This test assesses the control approach's ability to handle dynamic speed changes effectively. The proposed control strategy is further compared with conventional control methods, including proportional–integral and second‐order sliding mode command (SOSMC) controls. The results consistently demonstrate the superior performance of the novel approach in terms of accurate control, robustness, and overall stability. The combination of DVC and TOSMC offers a promising avenue for achieving enhanced motor control in the presence of load disturbances and speed variations.

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