首页|基于熵权决策的Halbach直线发电机分层优化设计

基于熵权决策的Halbach直线发电机分层优化设计

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为了实现直驱式波浪发电装置的高功率密度及高转化效率,针对Halbach阵列直线发电机,提出了一种基于熵权多属性决策的分层优化设计方法.在分析电机基本原理、发电性能以及试验验证的基础上,以开环电动势幅值、电压波形畸变率为目标,采用灵敏度方法筛选关键变量,建立分层优化模型,进一步结合NSGA-Ⅱ优化方法开展多目标优化设计;最后,提出通过熵权多属性决策TOPSIS算法对pareto非劣解集开展决策评估,获得电机结构尺寸的最优解.结果表明,电机优化前后电动势幅值提升了 13.7%;THD降低了 1.06%,验证了所提出的优化设计方法的高效性、可行性,以及决策方法的科学客观性.
Hierarchical Optimization Design of Halbach Linear Generator Based on Entropy Weight Decision
In order to achieve high power density and high conversion efficiency of direct drive wave genera-tor,a layered optimization design method based on entropy weight multi-attribute decision making was pro-posed for Halbach array linear generator.Based on the analysis of the basic principle,power generation per-formance and test verification of the motor,taking the amplitude of open loop electromotive force and the dis-tortion rate of voltage waveform as targets,the sensitivity method was used to screen the key variables,a hi-erarchical optimization model was established,and the multi-objective optimization design was carried out by combining NSGA-Ⅱ optimization method.Finally,the TOPSIS algorithm of entropy weight multi-attribute decision making was proposed to evaluate pareto non-inferior solution set,and the optimal solution of motor structure size was obtained.The results show that the electromotive force amplitude increases by 13.7%be-fore and after motor optimization.THD decreased by 1.06%,which verified the efficiency and feasibility of the proposed optimization design method and the scientific objectivity of the decision method.

Halbach array linear generatorentropy weight multi-attribute decision makinghierarchical op-timizationTOPSIS algorithm

曹得元、王长坤、范新宇、李阳

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江苏科技大学能源与动力学院,江苏镇江 212100

Halbach阵列直线发电机 熵权多属性决策 波形畸变率 TOPSIS算法

国家自然科学基金青年基金

52205271

2024

微电机
西安微电机研究所

微电机

CSTPCD
影响因子:0.431
ISSN:1001-6848
年,卷(期):2024.57(3)
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