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

机译:遗传算法对垂直发射地空导弹的快速周转机动优化

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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:最近对高机动性和垂直发射的必要性的兴趣触发了非常规控制设计技术,该技术在高攻角飞行状态下有效。因此,大多数战术导弹配置都使用常规的空气动力学控制以及推力矢量控制。在这项研究中,描述了一种数值优化方法,可以满足带有尾翼和喷气翼的通用垂直发射地空导弹(VLSAM)的快速周转机动。由于上述问题固有地要求导弹在高攻角下进行机动,因此导弹具有具有挑战性的非线性系统动力学,其源于飞行力学方程式和控制限制。通过实数编码遗传算法计算出最佳制导指令,结果表明,考虑给定导弹模型实例的详细物理特性,可以快速进行快速周转。在本文中,数值优化算法直接在带有混合控制分配的详细非线性6自由度(DoF)飞行力学模型上实现。因此,与大多数文献中大多数植物建模工作都受到很大限制的文献中的类似优化研究相比,该研究被认为具有重要意义。

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