Multi-Physics Multi-Objective Optimal Design of Bearingless Switched Reluctance Motor Based on Finite-Element Method

Zhang, Jingwei; Wang, Honghua; Zhu, Sa; Lü, Tao

doi:10.3390/en12122374

Cited by 11 publications

(9 citation statements)

References 33 publications

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“…3 shows the principle of torque generation in motor operation. When phase A is energized, the magnetic field lines generated by the torque winding will enter the adjacent torque teeth, forming a closed loop of magnetic field lines of "stator tooth ─ air gap ─ torque tooth ─ air gap ─ stator tooth" represented by the solid red line in the figure [17], [18]. Therefore, a counterclockwise torque is generated, and counterclockwise is the positive direction.…”

Section: A Torquementioning

confidence: 99%

Design and Characteristic Analysis of a New Dual-Stator Bearingless Switched Reluctance Motor

Han

Sun

et al. 2022

IEEE Access

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This paper proposes a 18/15/6 pole dual-stator bearingless switched reluctance motor (DSBSRM) with better overall performance. The proposed motor separates the torque control system and the suspension control system with a magnetic isolation ring. The torque drive system adopts the method of optimizing the distribution and quantity of the stator and rotor tooth poles, which reduces the hysteresis force that exists during the commutation of the electromagnetic poles and improves the torque output capacity and the electromagnetic conversion efficiency. The suspension control system adopts hybrid excitation differential control method. This method increases the electromagnetic induction intensity of the suspension system at a small current and thus improves the levitation force output capability and control accuracy. The mathematical model of the 18/15/6 pole DSBSRM was established. The torque mathematical model adopts the Maxwell stress integral method after path optimisation, and the levitation mathematical model is established with full consideration of the rotor offset problem to ensure the accuracy of the mathematical model. Ansoft Maxwell 2D software was then used to simulate the 18/15/6 pole DSBSRM in 2D. While verifying the correctness of the mathematical model, the characteristics of the motor were analysed and the influence of key parameters such as control current and air gap thickness on the performance of the motor was analysed. In order to further highlight the excellent performance of 18/15/6pole DSBSRM. Compare 18/15/6 pole DSBSRM with new 16-phase BSRM and 12/8/4 pole DSBSRM. Structural decoupling method is used in all 3 motors. The results show that the proposed 18/15/6-pole DSBSRM has better performance in terms of torque and suspension output capacity and decoupling performance.INDEX TERMS BSRM; hybrid excitation; magnetic field decoupling; mathematical model; differential control; performance analysis.

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Section: A Torquementioning

confidence: 99%

Design and Characteristic Analysis of a New Dual-Stator Bearingless Switched Reluctance Motor

Han

Sun

et al. 2022

IEEE Access

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“…For the proposed model based on the Maxwell stress method, the verifications are carried out in the case of single-phase excitation on Motor 1 (Zhang et al , 2019) and Motor 2 (Chen et al , 2017), respectively. Both Motors 1 and 2 are three-phase 12/8-pole BSRMs.…”

Section: Verification Of the Proposed Modelmentioning

confidence: 99%

A piecewise analytical model of bearingless switched reluctance motor for full rotor angular positions

Wang

Zhang

et al. 2021

COMPEL

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Purpose This paper aims to establish a piecewise Maxwell stress analytical model of bearingless switched reluctance motor (BSRM) for the full rotor angular positions. The proposed model varies from the existing models, which are only applicable to the partial-overlapping positions of stator and rotor poles. By extending the applicable rotor angular positions, this model provides a basic analytical model for the multi-phase excitation control of BSRM. Design/methodology/approach The full rotor angular positions are classified into the partial-overlapping positions and the non-overlapping positions. At first, two different air gap subdividing methods are proposed, respectively, for the two-position ranges. Then, different integration paths are selected accordingly. Furthermore, two approximate methods are presented to calculate the average flux density of each air gap subdivision. Finally, considering the mutual coupling between the two perpendicular radial suspension forces, a piecewise Maxwell stress analytical model is derived for the full rotor angular positions of BSRM. Findings A piecewise Maxwell stress analytical model of BSRM is built for the full rotor angular positions, and applicable to the multi-phase excitation mode of BSRM. For the partial-overlapping positions and the non-overlapping positions, two sets of air gap subdividing methods, integration paths and approximate calculation methods of air gap flux densities are proposed, respectively. The accuracy and reliability of the proposed model are verified by the finite element method. Originality/value The piecewise Maxwell stress analytical model of BSRM for the full rotor angular positions is proposed for the first time. The novel air gap subdividing methods, integration paths, approximate calculation methods of air gap flux densities and the coupling between the two radial suspension forces are adopted to improve the modeling accuracy. As the applicable range of rotor angular position is extended, this model overcomes the limitation of the existing models only for single-phase excitation mode and contributes to the accurate control of BSRM multi-phase excitation mode.

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“…The optimization can be accomplished either by modifying the machine geometry to guarantee that its structure contributes to the expected performance, or by optimizing the motor drive by means of control techniques to comply with the requirements imposed by the load [5]. Albeit there are several SRM design insights in the literature, this approach is suitable for early design stages and becomes more complex as different aspects are added to the package of constraints, requiring multiphysics and multi-objective optimization [6], [7]. Thus, optimization via advanced control to improve the SRM performance becomes desirable VOLUME 11, 2023 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm-Based Commutation Angle Control for Torque Ripple Mitigation in Switched Reluctance Motor Drives

Reis,

Kimpara,

Galotto

et al. 2023

IEEE Access

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This work addresses the application of the Genetic Algorithm (GA) technique to optimize the commutation angles of a 2 kW 8/6 switched reluctance machine (SRM). The primary goal is to reduce the well-known drawback of SRMs: the torque ripple. Firstly, the machine was modeled in Matlab/Simulink® using lookup tables obtained via finite element method (FEM) simulations. Subsequently, the model was used to perform the GA routine aiming to find the optimal phase commutation angles that minimize the torque ripple factor. Notably, the torque performance of the SRM was significantly affected by the commutation angles during the search for the optimal solution. Afterwards, the GA results for four different operation points were verified experimentally through a developed drive platform with digital signal processor-based (DSP) control and an asymmetric bridge converter. As showed by the experiments, the proposed approach was suitable to reduce the torque ripple by more than 50% for one of the evaluated operating points. Furthermore, it was confirmed that the torque ripple mitigation led to acoustic noise improvement.INDEX TERMS Switched reluctance motor, genetic algorithm, optimization, torque ripple.

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Multi-Physics Multi-Objective Optimal Design of Bearingless Switched Reluctance Motor Based on Finite-Element Method

Cited by 11 publications

References 33 publications

Design and Characteristic Analysis of a New Dual-Stator Bearingless Switched Reluctance Motor

Design and Characteristic Analysis of a New Dual-Stator Bearingless Switched Reluctance Motor

A piecewise analytical model of bearingless switched reluctance motor for full rotor angular positions

Genetic Algorithm-Based Commutation Angle Control for Torque Ripple Mitigation in Switched Reluctance Motor Drives

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