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