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作 者:李煌 葛红娟[1,2] 马莹 王永帅 LI Huang;GE Hong-juan;MA Ying;WANG Yong-shuai(College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211016,China;COMAC Shanghai Aircraft Design and Research Institute,Shanghai 201210,China)
机构地区:[1]南京航空航天大学民航学院,江苏南京211106 [2]南京航空航天大学自动化学院,江苏南京211106 [3]中国商飞上海飞机设计研究院,上海201210
出 处:《浙江大学学报(工学版)》2023年第3期606-615,共10页Journal of Zhejiang University:Engineering Science
基 金:国家自然科学基金委员会-中国民用航空局民航联合研究基金项目资助(U2233205,U1933115,U2133203).
摘 要:针对第二代非支配排序遗传算法(NSGA-Ⅱ)计算过程中存在种群分布不均匀、收敛性速度较慢的问题,提出超平面NSGA-Ⅱ(HP-NSGA-Ⅱ).该算法通过连接反映种群边缘分布的极值点构造超平面,以其法向量为进化趋势,对临界层个体在超平面进行投影,促使种群朝着分布均匀且收敛良好的最优解进化.以双输入双降压型逆变器(DIDBI)为多目标优化对象,开关损耗、输出电压总谐波失真和滤波元件体积为优化目标,依据谐振频率、电感电流纹波和功率因数的要求,推导出滤波电容、滤波电感和开关频率的约束条件,比较分析HP-NSGA-Ⅱ与NSGA-Ⅱ、考虑各目标重要度的γ-NSGA-Ⅱ的应用场合和价值.以某型逆变器样机为例,开展参数优化设计实验研究,结果表明了设计的有效性与正确性.Aiming at the problems of uneven population distribution and slow convergence in the calculation process of non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ),a hyperplane NSGA-Ⅱ(HP-NSGA-Ⅱ)was proposed.The algorithm constructed a hyperplane by connecting extreme points reflecting the edge distribution of the population,with its normal vector as the evolutionary trend,the critical layer individuals were projected on the hyperplane,which promoted the population to evolve towards the optimal solution with uniform distribution and good convergence.Dual-input dual-buck inverter(DIDBI)was a multi-objective optimization object,the switching loss,total harmonic distortion of output voltage,and volume of filter elements were regarded as optimization objectives.According to the requirements of resonant frequency,inductor current ripple,and the power factor,the constraint conditions of filter capacitance,filter inductance,and switching frequency were derived.The application situation and value of the HP-NSGA-Ⅱ were compared with NSGA-Ⅱ andγ-NSGA-Ⅱ considering the importance of each target.An Inverter prototype was regarded as an example,the experimental research on parameters optimization design was carried out,and the results show the effectiveness and correctness of the design.
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