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The hybrid law design based on interacting multiple model algorithm

机译:基于交互多模型算法的混合律设计

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A hybrid differential game law DGL/H based on IMM algorithm is proposed for endgame randomly maneuvering target interception to solve the robustness of traditional single guidance law and the target state estimation delayed high sensitivity. IMM/DGL/H law takes the performance advantage of three differential game laws, DGL/C, DGL/1 and DGL/0 law, into account, employs the change of model probability of IMM algorithm to detect the evasive maneuver, and then achieves the guidance law online options in use of the detection time to weaken the estimation delay for homing performance. Simulation results show that IMM algorithm for acceleration estimation can obtain higher estimation accuracy. The hybrid differential game law DGL/ H, compared with a single guidance law, has a better homing performance.
机译:提出了一种基于IMM算法的混合差分博弈律DGL / H,用于终端随机操纵目标拦截,以解决传统单制导律的鲁棒性和目标状态估计的延迟高灵敏度问题。 IMM / DGL / H法则充分考虑了DGL / C,DGL / 1和DGL / 0法则这三种差分博弈法则的性能优势,利用IMM算法模型概率的变化来检测规避动作,从而实现引导法在线选项中使用了检测时间,以减弱估计归巢性能的延迟。仿真结果表明,IMM算法用于加速度估计可以获得较高的估计精度。与单一制导律相比,混合差分博弈律DGL / H具有更好的归巢性能。

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