Radial basis function-based Pareto optimization of an outer rotor brushless DC motor

IF 1.6 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Numerical Modelling-Electronic Networks Devices and Fields Pub Date : 2024-01-23 DOI:10.1002/jnm.3214

Omid Rahmani, Sayed Alireza Sadrossadat, Mostafa Noohi, Ali Mirvakili, Maitham Shams

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引用次数: 0

Abstract

This paper presents the development of an optimization and modeling method for the objective functions of output power, efficiency and weight of an outer rotor permanent magnet brushless DC (BLDC) motor based on radial basis function (RBF) approximation technique. The proposed RBF-based Pareto optimization method requires less knowledge about electric/magnetic formulas and can replace conventional optimizations based on these equations with higher accuracy. To apply the proposed optimization method, the initial design should be developed using such equations. Therefore, RBFs are used to model and predict engine behavior. To optimize the objective functions, we used a genetic algorithm optimization technique with nonlinear electric and magnetic constraints to find the Pareto front set. The design obtained by the proposed radial basis function Pareto optimization (RBFPO) method was finally verified by Ansoft Maxwell. The results of optimal design using the RBFPO method have higher output power and efficiency. Also, in addition to the advantage of a favorable accuracy, RBF-based models are significantly faster than models available in simulation tools.

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基于径向基函数的外转子无刷直流电机帕累托优化设计

本文介绍了一种基于径向基函数（RBF）逼近技术的外转子永磁无刷直流（BLDC）电机输出功率、效率和重量目标函数的优化和建模方法。所提出的基于 RBF 的帕累托优化方法所需的电学/磁学公式知识较少，可取代基于这些公式的传统优化方法，且精度更高。要应用所提出的优化方法，初始设计应使用这些公式进行开发。因此，我们使用 RBF 对发动机行为进行建模和预测。为了优化目标函数，我们使用了遗传算法优化技术，并通过非线性电约束和磁约束找到帕累托前置集。通过提出的径向基函数帕累托优化（RBFPO）方法获得的设计最终由 Ansoft Maxwell 验证。使用 RBFPO 方法进行优化设计的结果具有更高的输出功率和效率。此外，除了精度高的优势外，基于 RBF 的模型比仿真工具中的模型要快得多。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Numerical Modelling-Electronic Networks Devices and Fields 工程技术-工程：电子与电气

CiteScore

4.60

自引率

6.20%

发文量

101

审稿时长

>12 weeks

期刊介绍： Prediction through modelling forms the basis of engineering design. The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly. Engineers need models which relate to their design area and which are adaptable to new design concepts. They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models. The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields. It concentrates on numerical modelling rather than abstract numerical mathematics. Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering. They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design. They will also include the use of electrical networks as a modelling medium.