CAJ | 학술논문

针对无人机的航线规划方法展开研究，旨在建立能够融合真实数字地形的，更为客观、合理的航迹规划方法。由于免疫算法易陷入局部最优点及收敛速度过慢等问题，提出了一种基于禁忌准则的改进免疫算法，并应用于无人机航迹规划，其通过基因编码确定个体评价准则、交叉和高频变异等操作，通过在真实的地理环境信息所建立的数字高程地图上进行无人机的初始航迹优化，使航迹能够满足各种约束条件。与蚁群算法对比分析的结果表明，该算法加快了收敛进程，并可求得较优解。
침대무인궤적항선규화방법전개연구，지재건립능구융합진실수자지형적，경위객관、합리적항적규화방법。유우면역산법역함입국부최우점급수렴속도과만등문제，제출료일충기우금기준칙적개진면역산법，병응용우무인궤항적규화，기통과기인편마학정개체평개준칙、교차화고빈변이등조작，통과재진실적지리배경신식소건립적수자고정지도상진행무인궤적초시항적우화，사항적능구만족각충약속조건。여의군산법대비분석적결과표명，해산법가쾌료수렴진정，병가구득교우해。
Unmanned aerial vehicle ( UAV) path planning method was discussed.It's designed to establish a much more ob-jective and reasonable planned path which could blend with real digital terrain.On account of the slow convergence rate, and that immune algorithm is easily to fall into local optimum, an improved immune algorithm based on tabu criterion was proposed, and it was used to solve the UAV path planning problem.It aimed at determining the individual evaluation criteria through gene enco-ding and a series of genetic manipulation such as crossover and hyper-mutation.Through the optimization of initial track of UAV on a digital elevation map which was proposed on real geographical information.The flight path could meet various constraints. The comparative analysis with ant colony algorithm shows that the algorithm is faster and more effective to get convergent process and good solutions.