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基于改进的NSGA-Ⅱ算法的飞机等效拟配 被引量:5

Aircraft′s Equivalent Matching Method Using Improved NSGA-Ⅱ Algorithm
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摘要 文章针对传统等效拟配方法中,时域响应和频域特性不能兼顾带来的缺点,提出了一种基于改进的多目标进化算法NSGA-Ⅱ的时域频域并行双拟配方法。在改进的NSGA-Ⅱ进化算法中,提出了新的精英保留策略增强了算法收敛性;同时,使用了改进的自适应模拟二进制(ASBX)算子提高了算法效率。仿真结果表明,采用该算法进行等效系统拟配,可以兼顾时域和频域响应,拟配效果良好。 Aim. The introduction of the full paper reviews some papers in the open literature and points out their shortcoming: with the traditional aircraft's equivalent matching method, the responses of time domain and frequency domain cannot be considered simultaneously. In the last paragraph of the introduction, we propose what we believe to be a better method, which is explained in section 1. Its six subsections are entitled respectively: basic NSGA-Ⅱ algorithm, selection of objective functions, improving the elitism reservation strategy, adaptive simulated binary crossover (ASBX) operator, polynomial mutation operator and the procedural steps of the improved NSGA-Ⅱ algo- rithm. The core of subsection 1.2 is that we use the multi-objective optimization method to better match the time domain and frequency domain of a flight control system with the two objective functions as given in eqs. ( 1 ) and ( 3 ). The core of subsection 1.3 is that we reserve the desired optimal solutions with eq. (4) so as to improve the elitism reservation strategy and make convergence more rapid. Section 2 uses a numerical simulation example to apply our improved NSGA-Ⅱ algorithm to aircraft' s equivalent matching. The simulation results, given in Figs. 3 and 4, and their analysis show preliminarily that our improved NSGA-Ⅱ algorithm makes convergence faster and can match the response of time domain with that of frequency domain at the same time.
出处 《西北工业大学学报》 EI CAS CSCD 北大核心 2011年第1期27-33,共7页 Journal of Northwestern Polytechnical University
基金 航空科学基金(20090753008)资助
关键词 等效拟配 多目标优化 NSGA-Ⅱ 精英保留策略 自适应算子 optimization, algorithms, aircraft, equivalent matching, multi-objective optimization, NSGA-Ⅱ algo-rithm, elitism reservation strategy, time domain, frequency domain
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参考文献7

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