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Multi-objective reentry trajectory optimization method via GVD for hypersonic vehicles

机译:基于GVD的高超声速飞行器多目标折返轨迹优化方法

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摘要

In the constrained reentry trajectory design of hypersonic vehicles, multiple objectives with priorities bring about more difficulties to find the optimal solution. Therefore, a multi-objective reentry trajectory optimization (MORTO) approach via generalized varying domain (GVD) is proposed. Using the direct collocation approach, the trajectory optimization problem involving multiple objectives is discretized into a nonlinear multi-objective programming with priorities. In terms of fuzzy sets, the objectives are fuzzified into three types of fuzzy goals, and their constant tolerances are substituted by the varying domains. According to the principle that the objective with higher priority has higher satisfactory degree, the priority requirement is modeled as the order constraints of the varying domains. The corresponding two-side, single-side, and hybrid-side varying domain models are formulated for three fuzzy relations respectively. By regulating the parameter, the optimal reentry trajectory satisfying priorities can be achieved. Moreover, the performance about the parameter is analyzed, and the algorithm to find its specific value for maximum priority difference is proposed. The simulations demonstrate the effectiveness of the proposed method for hypersonic vehicles, and the comparisons with the traditional methods and sensitivity analysis are presented.
机译:在高超音速飞行器的受限折返轨迹设计中,具有多个优先级的目标给寻找最佳解决方案带来了更多困难。因此,提出了一种基于广义可变域(GVD)的多目标折返轨迹优化(MORTO)方法。使用直接配置方法,将涉及多个目标的轨迹优化问题离散化为具有优先级的非线性多目标规划。在模糊集方面,将目标模糊化为三种类型的模糊目标,并用不同的域替换其恒定公差。根据优先级较高的目标具有较高满意程度的原则,将优先级要求建模为变化域的顺序约束。分别为三个模糊关系制定了相应的两面,单面和混合面变化域模型。通过调节参数,可以实现满足优先级的最优再入轨迹。此外,分析了有关参数的性能,并提出了找到最大优先级差异的特定值的算法。仿真结果证明了该方法对高超音速飞行器的有效性,并与传统方法和灵敏度分析进行了比较。

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