Non-linear analytical model for synchronous reluctance machine

SOLAK, Burak; SAPMAZ, Tunahan; Oner, Y.

doi:10.1016/j.jmmm.2023.170570

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…Recently, synchronous reluctance machines (SynRMs) have gained significant attention in electric machine drives due to their advantages such as high efficiency, robustness, and lower cost 1–7 . In comparison to permanent magnet machines (PM) 8,9 and induction machines (IM), 10–13 Permanent magnet machines require rare‐earth magnets, which are costly and environmentally challenging to produce.…”

Section: Introductionmentioning

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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Section: Introductionmentioning

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

View full text Add to dashboard Cite

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Finite-time robust speed control of synchronous reluctance motor using disturbance rejection sliding mode control with advanced reaching law

Nasim,

Bhatti,

Farhan

et al. 2023

PLoS ONE

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In recent years, there has been a significant focus on synchronous reluctance motors (SynRM) owing to their impressive efficiency and absence of magnetic material. Although the SynRM shows great potential for use in electric vehicles, its widespread adoption is limited by unmodeled dynamics and external disturbances. Moreover, the uncertainty factor significantly restricts SynRM’s peak efficiency and superior control performance, leading to an unjustifiable current loop reference command. To address these issues, this work presents various new research contributions which focus on the robust control of SynRM to optimize performance through the novel reaching law-based sliding mode control. Initially, a novel advanced sliding mode control reaching law (ASMCRL) with adaptive gain is proposed, to enhance the acceleration of the system state reaching the sliding surface. After that, an extended state observer (ESO) is designed to estimate and compensate for the overall disturbances of the system. Finally, the ASMCRL and ESO are integrated to design two nonlinear controllers namely, the disturbance-rejection sliding mode controller (DRSMC) and the disturbance-rejection sliding mode speed regulator (DRSMSR) for SynRM. The proposed DRSMSR eliminates the steady-state error and eradicates inherent chattering in DRSMC. Moreover, this yields a system trajectory that converges to a predetermined proximity of the sliding surface, irrespective of any lumped disturbances. The steady-state error of DRSMSR is less as compared to DRSMC. Furthermore, the speed response of this technique is 22.62% faster as compared to the state-of-the-art finite-time adaptive terminal sliding mode control. Additionally, the asymptotic stability of the proposed system is validated using Lyapunov’s theorem. Thus the experimental results demonstrate the effectiveness and robustness of the proposed approach.

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Non-linear analytical model for synchronous reluctance machine

Cited by 2 publications

References 47 publications

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

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

Finite-time robust speed control of synchronous reluctance motor using disturbance rejection sliding mode control with advanced reaching law

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