多目标模糊航迹规划方法研究(英文)

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。

Study of Multi-objective Fuzzy Optimization for Path Planning

During path planning, it is necessary to satisfy the requirements of multiple objectives. Multi-objective synthesis is based on the need of flight mission and subjectivity inclination of decision-maker. The decision-maker, however, has illegibility for understanding the requirements of multiple objectives and the subjectivity inclination. It is important to develop a reasonable cost performance index for describing the illegibility of the decision-maker in multi-objective path planning. Based on Voronoi diagram method for the path planning, this paper studies the synthesis method of the multi-objective cost performance index. According to the application of the cost performance index to the path planning based on Voronoi diagram method, this paper analyzes the cost performance index which has been referred to at present. The analysis shows the insufficiency of the cost performance index at present, i.e., it is difficult to synthesize sub-objective functions because of the great disparity of the sub-objective functions. Thus, a new approach is developed to optimize the cost performance index with the multi-objective fuzzy optimization strategy, and an improved performance index is established, which could coordinate the weight conflict of the sub-objective functions. Finally, the experimental result shows the effectiveness of the proposed approach.