多约束巡航轨迹优化方法  

Multi-constrained Cruising Trajectory Optimization

作　　者：林木[1] 蒲小平 荣思远[3] 周宏宇[3] Lin Mu;Pu Xiaoping;Rong Siyuan;Zhou Hongyu(National University of Defense Technology,Changsha 410073,China;Air Force Equipment Department,Beijing 100843,China;Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]国防科技大学,长沙410073 [2]空军装备部,北京100843 [3]哈尔滨工业大学,哈尔滨150001

出　　处：《战术导弹技术》2020年第5期101-105,113,共6页Tactical Missile Technology

摘　　要：针对飞行器巡航段飞行中约束条件多、环境干扰多的特点,建立了包括载荷、热环境和控制在内的多种约束模型;同时,以实现精确中末制导交班的条件下燃料消耗最少的目标,建立了多约束巡航段轨迹优化模型。由于巡航段约束多、航程远,由优化模型转化而来的非线性规划(NLP)问题维度很高,增加了轨迹优化的难度;因此,提出一种改进伪谱法,借助遗传算法实现节点数量、节点位置以及差值多项式阶次的自适应调整,在保证计算精度的前提下避免了不必要的网格细化,进而提高了混合优化算法的求解效率。In view of the multiple constraints and perturbations in the cruising phase,the multi-constraint model,which is composed of load factors and thermal factors,is proposed for the aircraft. Then,the cruising trajectory optimization model with the performance index of the least propulsion consumption is proposed under the premise of precious transition to the terminal guidance phase. Due to the multiple constraints and the long-range flight,the nonlinear programing problem( NLP) corresponding to the trajectory optimization problem is of high dimensional,which makes the solution complicated. To quickly obtain the solution,a modified pseudospectral method is developed based on the genetic algorithm. Using the proposed method,the number and the position of the nodes,as well as the degree of the interception polynomial can be adaptively determined. Thus,on the premise of ensuring the calculation accuracy,unnecessary meshrefinement is avoided;As a result,the solution efficiency of the hybrid optimization algorithm is improved.

关 键 词：巡航轨迹 轨迹优化 伪谱法 遗传算法 

分 类 号：V448[航空宇航科学与技术—飞行器设计]