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Rapid Turnover Maneuver Optimization of a Vertical Launch Surface to Air Missile via Genetic Algorithms

机译:通过遗传算法快速换档机动优化垂直发射表面到空气导弹

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摘要

The recent interests in the necessity of high maneuverability and vertical launching triggered namely the unconventional control design techniques that are effective at high angle of attack flight regimes. Hence, most of the tactical missile configurations use conventional aerodynamic controls together with the thrust vectoring controls. In this study, a numerical optimization approach to satisfy the rapid turnover maneuver of a generic vertical launch surface to air missile (VLSAM), with tail fins and jet vanes, is described. Since the stated problem inherently requires the missile to perform maneuvering at high angles of attack, it has a challenging nonlinear system dynamics originating from the flight mechanics equations and the control limitations. The optimal guidance commands are computed with real coded genetic algorithm and the results show that the rapid turnover can optimally be conducted considering the detailed physical properties of the given missile model example. In this paper, the numerical optimization algorithms are implemented directly on the detailed nonlinear 6 degree of freedom (DoF) flight mechanics model with hybrid control allocation. For that reason, this study is believed to have importance when compared with the former similar optimization studies within the literature in which most of the plant modeling efforts are kept considerably limited.
机译:最近的兴趣是必须高机动性和垂直发射的必要性触发了在高角度攻击飞行制度中有效的非常规控制设计技术。因此,大多数战术导弹配置都使用传统的空气动力控制与推力矢量控制一起。在本研究中,描述了满足通用垂直发射表面的快速换档机构与空气导弹(VLSAM)的快速转换机动,具有尾鳍和喷射叶片的数值优化方法。由于所述问题本身要求导弹在高角度下进行机动,因此它具有源自飞行力学方程的挑战非线性系统动态和控制限制。利用实际编码的遗传算法计算最佳指导命令,结果表明,考虑到给定导弹模型示例的详细物理性质,可以最佳地进行快速转换。在本文中,数值优化算法直接在具有混合控制分配的混合控制分配的详细非线性6度自由度(DOF)飞行力学模型上实现。因此,与文献中的前一种类似的优化研究相比,该研究据信这项研究具有重要性,其中大多数植物建模努力保持大幅限制。

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