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Multi-objective longitudinal trajectory optimization for hypersonic reentry glide vehicle based on PSO algorithm

机译:基于PSO算法的高超音速再入滑行飞行器多目标纵向轨迹优化

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For the purpose of solving the multi-objective reentry trajectory optimization problem with multiple path and terminal constraints for a hypersonic reentry-gliding vehicle, the energy-like dynamic equations are introduced by original time-varying equations so that the problem can be finally transformed to a non-linear program NLP problem with fixed terminal values. After that, a numerical optimization method based on PSO algorithm is considered, where the adaptive penalty technique and Normalized Non-dominated Sorting technique are used to handling the multi-constraints and multi-objectives, respectively. The simulation shows that the complete longitudinal multi-objective trajectories can be generated by the proposed algorithm and the optimized angles of attack can provide multiple references for practical engineering.
机译:为了解决高超声速再滑行飞行器具有多路径和终端约束的多目标再入轨迹优化问题,通过原始时变方程引入类能量动力学方程,最终将问题转化为具有固定终端值的非线性程序NLP问题。之后,考虑了一种基于PSO算法的数值优化方法,其中自适应惩罚技术和归一化非支配排序技术分别用于处理多约束和多目标。仿真表明,该算法可以生成完整的纵向多目标轨迹,优化的攻角可以为实际工程提供参考。

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