Adjoint-Based Design Optimization of Nonlinear Switched Reluctance Motors

Sayed, Ehab; Bakr, Mohamed H.; Bilgin, Berker; Emadi, Ali

doi:10.1080/15325008.2020.1731864

Cited by 5 publications

(5 citation statements)

References 27 publications

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“…17. Gradients are routinely computed numerically using forward finite difference (FFD) [86], backward finite difference (BFD) [86], central finite differences (CFD) [87]- [89], and complex-step methods [89]. The FFD and BFD methods require one additional simulation for each design parameter, whereas the more accurate CFD requires two extra simulations for each design parameter.…”

Section: ) Objective Gradient Calculation Methodsmentioning

confidence: 99%

“…In [172], an interior-point optimization algorithm used the adjoint-based sensitivities to optimize the geometry of a 6/14 radial-flux SRM to maximize the machine static torque characteristics. The considered parameters were rotor teeth height, stator yoke thickness, rotor yoke thickness, stator pole arc angle, rotor pole arc angle, stator teeth taper angle, and rotor teeth taper angle.…”

Section: Geometry Optimization Of Srmsmentioning

confidence: 99%

See 1 more Smart Citation

Geometry and Topology Optimization of Switched Reluctance Machines: A Review

Abdalmagid

Sayed²,

Bakr

et al. 2022

IEEE Access

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Switched reluctance machines (SRMs) have recently attracted more interest in many applications due to the volatile prices of rare-earth permanent magnets (PMs) used in permanent magnet synchronous machines (PMSMs). They also have rugged construction and can operate at high speeds and high temperatures. However, acoustic noise and high torque ripples, in addition to the relatively low torque density, present significant challenges. Geometry and topology optimization are applied to overcome these challenges and enable SRMs to compete with PMSMs. Key geometric design parameters are optimized to minimize various objective functions within geometry optimization. On the other hand, the material distribution in a particular design space within the machine domain may be optimized using topology optimization. We discuss how these techniques are applied to optimize the geometries and topologies of SRMs to enhance machine performance. As optimizing the machine geometry and material distribution at the design phase is of substantial significance, this work offers a comprehensive literature review on the current state of the art and the possible trends in the optimization techniques of SRMs. The paper also reviews different configurations of SRMs and stochastic and deterministic optimization techniques utilized in optimizing different configurations of the machine.

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Section: ) Objective Gradient Calculation Methodsmentioning

confidence: 99%

Section: Geometry Optimization Of Srmsmentioning

confidence: 99%

Geometry and Topology Optimization of Switched Reluctance Machines: A Review

Abdalmagid

Sayed²,

Bakr

et al. 2022

IEEE Access

Self Cite

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“…The so-called Adjoint Variable Method (AVM) briefly described in this section, is usually applied for sensitivity calculations [55], [56]. In principle, the AVM approach can be applied to the continuous PDE problem, but here we focus our attention to its discretized version.…”

Section: A Mathematical Preliminariesmentioning

confidence: 99%

Topology Optimization for Electromagnetics: A Survey

et al. 2022

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The development of technologies for the additive manufacturing, in particular of metallic materials, is offering the possibility of producing parts with complex geometries. This opens up to the possibility of using topological optimization methods for the design of electromagnetic devices. Hence, a wide variety of approaches, originally developed for solid mechanics, have recently become attractive also in the field of electromagnetics. The general distinction between gradient-based and gradient-free methods drives the structure of the paper, with the latter becoming particularly attractive in the last years due to the concepts of artificial neural networks. The aim of this paper is twofold. On one hand, the paper aims at summarizing and describing the state-of-art on topology optimization techniques while on the other it aims at showing how the latter methodologies developed in non-electromagnetic framework (e.g., solid mechanics field) can be applied for the optimization of electromagnetic devices. Discussions and comparisons are both supported by theoretical aspects and numerical results.

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“…The SIMP algorithm used for the TO of the motor has been based on [26] and combined with the MMA optimizer proposed in [25]. In most of the previous work, the optimization objective has been torque related.…”

Section: A Simpmentioning

confidence: 99%

“…The consideration of intermediate material states -compared to binary mesh cell densities (either 0 or 1) -vastly increases the complexity of the model. Therefore, SIMP approaches are normally coupled with gradient-based procedures, with adjoint variable methods [26], [27] being the most popular, as they can significantly reduce the computation time of derivatives compared to finite difference techniques. This method has been applied to the TO of electrical machines in different scenarios, such as in the torque optimization of PMSMs [28] and in the improvement of torque characteristics of a synchronous reluctance motor [29], [30].…”

Section: Introductionmentioning

confidence: 99%

Novel Topology Optimization Method for Weight Reduction in Electrical Machines

et al. 2022

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This paper proposes a combined electromagnetic and mechanical topology optimization for weight reduction in electrical machines based on Finite Element Analysis (FEA) and Evolutionary Structural Optimization (ESO). The devised method is an on-off-type algorithm with adaptative mesh in which low flux density and low Von Mises stress cells are removed successively from a first machine design. With this approach, the weight of the machine can be considerably reduced without compromising the electromagnetic performance of the machine, with a reduced computation time compared to other topology optimization methods. A case study involving a 1.2 MW low-speed, permanent magnet motor is analyzed under different conditions (algorithm parameters, initial mesh, rotational speed) and used to compare the proposed method with two other topology optimization approaches.

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Adjoint-Based Design Optimization of Nonlinear Switched Reluctance Motors

Cited by 5 publications

References 27 publications

Geometry and Topology Optimization of Switched Reluctance Machines: A Review

Geometry and Topology Optimization of Switched Reluctance Machines: A Review

Topology Optimization for Electromagnetics: A Survey

Novel Topology Optimization Method for Weight Reduction in Electrical Machines

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