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Optimal Control of Initiative Anti-interception Penetration Using Multistage Hp-Adaptive Radau Pseudospectral Method

机译:基于多级Hp-自适应Radau伪谱方法的主动防拦截穿透最优控制

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Considering the penetration guidance for initiative anti-interception penetration(IAIP), this paper presents an improved multistage hp-adaptive Radau pseudospectral Method (RPM) to solve non-smooth optimal control problem combined with mission decomposition. Firstly, the author builds a three-body motion model as dynamic constraint, which is composed of the attacker, interceptor and target, and establishes the optimal control model of each phase corresponded to keep flight, maneuver penetration, and attack target. Then this article takes segment points as optimization variables and proposed an adaptive curvature in order to improve the precision. The simulation results illustrate the effectiveness and superiority.
机译:考虑到主动反拦截穿透的穿透指导,本文提出了一种改进的多级hp自适应Radau伪谱方法(RPM),以解决非平稳最优控制问题与任务分解相结合的问题。首先,作者建立了由攻击者,拦截者和目标组成的三体运动模型作为动态约束,并建立了与保持飞行,机动穿透和攻击目标相对应的各个阶段的最优控制模型。然后本文以分段点为优化变量,提出了一种自适应曲率,以提高精度。仿真结果说明了该方法的有效性和优越性。

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