牵引电动机的自适应Pareto算法优化设计

IF 7.1 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Dario Barri;Federico Soresini;Massimiliano Gobbi;Antonino di Gerlando;Gianpiero Mastinu
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引用次数: 0

摘要

本文研究了一种基于监督学习的电机自适应多目标优化设计方法。该过程基于多目标优化方法,该方法涉及许多目标函数(质量,转子惯性,平均总损耗),约束(几何可行性,电流和电压限制,转矩-速度分布,热约束)和大量描述电机物理特性的设计变量(转子,定子和绕组参数)。计算机实验设计基于低差异序列(LDS)。电机性能指标通过多物理场仿真(电磁、热)由motor - cad™软件进行评估。采用人工智能(AI)来近似物理模型行为。利用人工神经网络(ANN),通过这种方式,可以用合理的计算量来研究大量的设计变量组合。由于电动机的多目标优化特别复杂,必须开发一种特殊的算法来寻找帕累托最优解。一种新的自适应帕累托算法可以减少计算量并使最优解在帕累托最优前沿均匀分布。该算法在与全局逼近模型相结合时尤其有效,填充操作可以改善元模型逼近。衍生的电动机在数百万种可能的配置中显示出最佳的折衷性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Design of Traction Electric Motors by a New Adaptive Pareto Algorithm
This paper deals with an adaptive multi-objective optimisation process for the design of electric motors by means of supervised learning techniques. The process is based on a multi-objective optimisation approach which involves many objective functions (mass, rotor inertia, average total losses), constraints (geometrical feasibility, current and voltage limit, torque-speed profile, thermal constraints) and a large number of design variables (rotor, stator and winding parameters) that describe the physical properties of the motor. The design of computer experiments is based on a Low Discrepancy Sequence (LDS).The electric motor performance indices are evaluated through multiphysics simulations (electromagnetic, thermal) carried out by Motor-CAD™ software. Artificial Intelligence (AI) is adopted to approximate the physical model behaviour. Artificial Neural Networks (ANN) are exploited, in this way a large set of design variables combinations can be investigated with a reasonable computational effort. Since the multi-objective optimisation of electric motor is particularly complex, a special algorithm had to be developed to find Pareto-Optimal solutions. A new Adaptive Pareto Algorithm allows to reduce the computational cost and to achieve an even distribution of the optimal solutions in the Pareto optimal front. The algorithm is particularly effective when it is integrated with a global approximation model, the infill operation allows to improve the metamodel approximation. The derived electric motors show the best compromise performances among millions of possible configurations.
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来源期刊
CiteScore
6.00
自引率
8.80%
发文量
1245
审稿时长
6.3 months
期刊介绍: The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.
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