基于熵权决策的Halbach直线发电机分层优化设计

Hierarchical Optimization Design of Halbach Linear Generator Based on Entropy Weight Decision

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。

In order to achieve high power density and high conversion efficiency of direct drive wave generator,a layered optimization design method based on entropy weight multi-attribute decision making was proposed for Halbach array linear generator.Based on the analysis of the basic principle,power generation performance and test verification of the motor,taking the amplitude of open loop electromotive force and the distortion rate of voltage waveform as targets,the sensitivity method was used to screen the key variables,a hierarchical 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%before 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.