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在航迹规划方法中,常常需要满足多个目标要求。多目标综合体现飞行任务要求和决策者意愿,而决策者对目标的认识及对各个目标趋优满意程度的主观意愿存在模糊性,在多目标规划中如何体现这种特性,是航迹规划应该考虑的问题。基于Voronoi图形的航迹规划方法,研究多目标代价性能指标的综合问题。首先,分析了多目标性能指标建立的困难:因为各子目标代价物理意义不同,且同一子目标会受到任务、飞行环境等的影响,这使得在不同情况下,不同目标代价在相对重要性方面缺乏可比性,因而造成决策者认识上的困难,不便直观反映决策者对各个目标趋优满意程度的主观意愿,影响航迹规划效果。针对这一问题,对多目标综合性能指标函数进行模糊隶属化,建立模糊优化方法,有利于解决航迹规划多目标综合的困难。结合实际算例,验证了提出的多目标模糊优化方法的合理性。
In track planning methods, it is often necessary to meet multiple objectives. Multi-objective integrated flight mission requirements and the wishes of decision-makers, and decision-makers on the target awareness and satisfaction of each objective subjective ambivalence ambiguity in the multi-objective programming how to reflect this characteristic is the trajectory planning should Consideration of the problem. Based on the Voronoi graph trajectory planning method, the comprehensive problem of multi-objective cost performance index is studied. First of all, the difficulties in establishing multi-objective performance indicators are analyzed. Because each sub-goal cost has different physical meanings and the same sub-goal will be affected by tasks and flight environment, this results in different objective costs in different situations, in terms of relative importance Lack of comparability, which led to the understanding of decision-makers difficulties, inconvenience to reflect the decision-makers objectively satisfied with the various goals subjective intent, affect the effect of track planning. To solve this problem, fuzzy subordination of multi-objective comprehensive performance index function and establishment of fuzzy optimization method are helpful to solve the multi-objective synthesis difficulty of track planning. Combined with practical examples, the proposed multi-objective fuzzy optimization method is reasonable.