Cost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling

Güleç, Mehmet; Lindh, Pia; Aydın, Metin; Pyrhönen, Juha

doi:10.1109/access.2021.3129927

Cited by 4 publications

(4 citation statements)

References 30 publications

(27 reference statements)

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“…A detailed understa algorithm can be seen in references [149,150]. The authors of [38] applied the modeling method of MEC to a previou and patented PMECC and optimized the design of the given device using m PSO to minimize the cost. The volume of the optimized PM was redu compared to the pre-optimized structure.…”

Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

“…The volume of the optimized PM was redu compared to the pre-optimized structure. The authors of [40] used a ch objective PSO to optimize the design parameters of an axial-flux P optimization model was developed using FEM and experimental design m the maximum torque and minimum eddy current as the optimization ob results resulted in an efficiency of the PMECC of more than 94% and a reduct The authors of [38] applied the modeling method of MEC to a previously designed and patented PMECC and optimized the design of the given device using multi-objective PSO to minimize the cost. The volume of the optimized PM was reduced by 40% compared to the pre-optimized structure.…”

Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

“…Thus, there are large amounts of references focusing on electromagnetic field (EMF) modeling, thermal analysis, and the optimal design of PMECCs. Modeling and optimal design is a key issue in the development of and scientific research on PMECC [32,[38][39][40][41]. The process of modeling is used to solve the distribution of the magnetic field and eddy current by establishing the electromagnetic field model and the thermal model of the corresponding mechanical structure, and then to calculate the output of torque to evaluate the performance of the PMECC.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Review of Recent Developments in Permanent Magnet Eddy Current Couplers Technology

Wang

et al. 2023

Actuators

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Permanent magnet eddy current couplers (PMECCs) have the characteristics of contactless torque transmission, removal of torque ripple, smooth dynamic process, and adjustable speed, and can be used as couplings, dampers, brakes, and speed governors. Their applications in industry, vehicles, and energy fields are gradually expanding. At the same time, the requirements for the torque density and dynamic performance of PMECCs are increasing. Therefore, a large amount of research work has focused on the fast and accurate modeling, design, and optimization of PMECCs. This paper provides a survey on the development of PMECCs technology. The main topics include the structure and classification of PMECCs, modeling methods, loss and heat transfer analysis modeling, and optimization design. In addition, this paper shows the future trends of PMECCs research. All the highlighted insights and suggestions of this review will hopefully lead to increasing efforts toward the model’s construction and the optimal design of PMECCs for future applications.

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Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Review of Recent Developments in Permanent Magnet Eddy Current Couplers Technology

Wang

et al. 2023

Actuators

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“…An RN is a magnetic-circuit-based model that uses similarity to an electric circuit, as presented in Table Ⅲ, and is used for magnetic field in various electric machines such as a magnetic gear [20], axial permanent magnet bearingless flywheel machine [21], and permanent magnet eddy current brake [22]. A unit network contains four reluctances and a magnetomotive force induced by a current or permanent magnet; an RN structure is shown in Fig.…”

Section: A Multi-fidelity Concept Including Reluctance Networkmentioning

confidence: 99%

Multi-Fidelity Model-Based Size Optimization of Electric Machines

Ahn

Min

2022

IEEE Access

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The multi-modal problem and high computational cost represent challenges in the optimization of electric machines owing to their highly nonlinear electromagnetic response. To overcome these challenges, this paper proposes a multi-fidelity model-based sequential optimization method in which both low-and highfidelity models are employed in two phases. In phase 1, the reluctance network (RN) is adopted as the lowfidelity model and mainly contributes to alleviating the abovementioned challenges. To overcome the low accuracy of the RN, the optimal design is obtained using a finite element model (FEM) in phase 2. The multistart strategy and gradient-based algorithm are utilized instead of a heuristic algorithm in all phases to avoid excessive calculations. This multi-fidelity model concept presents a novelty compared to previous research that focused only on algorithm development. The effectiveness of the proposed method is validated with two examples, consisting of the TEAM workshop problem 25 and the torque ripple minimization of an interior permanent magnet synchronous motor. The optimal designs and computational time resulting from the proposed method are compared with those of the conventional method, where only a FEM is used during optimization. The results show that the proposed method is remarkable in finding superior optimal designs, while ignoring unimportant local optima. Additionally, it can save up to 90% of the computational time required by the conventional method.INDEX TERMS Computational efficiency, electric machine, finite element model, multi-fidelity model, multi-modal problem, reluctance network.

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Comparison of Eddy Current Coupling Topologies for High Efficiency Mechanical Power Transmission

Al-Shammari

Lazari

Atallah

2023

IEEE Trans. Energy Convers.

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Cost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling

Cited by 4 publications

References 30 publications

A Review of Recent Developments in Permanent Magnet Eddy Current Couplers Technology

A Review of Recent Developments in Permanent Magnet Eddy Current Couplers Technology

Multi-Fidelity Model-Based Size Optimization of Electric Machines

Comparison of Eddy Current Coupling Topologies for High Efficiency Mechanical Power Transmission

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