一种用于反攻击型无人飞行器的导弹末制导律

• 作 者: 江秀强
• 机 构: 南京航空航天大学航天学院,
• 出 处: 战术导弹技术
• 发表日期: 2013年01期
• 关键词: 导弹末制导 无人飞行器 制导律 攻击型 目标机动 模糊神经网络 滑模变结构制导 脱靶量 仿真结果 突防能力

以反攻击型无人飞行器(AUAV)为工程应用背景。首先,基于导弹与AUAV类目标的非线性相对运动关系模型,给出了导弹的滑模变结构制导。然后,建立了模糊神经网络模型,利用模糊神经网络调整了引起抖振的参数,进一步削弱了滑模变结构制导律中存在的抖振。仿真结果表明:当AUAV作复杂大机动逃逸时,智能制导律能够以较短的时间和较小的指令加速度取得更小的脱靶量,与滑模变结构制导相比该制导律有较大的性能改善。

Anti-attack UAV (AUAV) as the engineering application background. First, based on the model of nonlinear relative motion between missiles and AUAV targets, the sliding mode variable structure guidance of missiles is given. Then, a fuzzy neural network model is established, and parameters of chattering caused by fuzzy neural network are adjusted, which further weakens the chattering in the sliding mode variable structure guidance law. The simulation results show that the intelligent guidance law can obtain a smaller miss distance in a shorter time and with a smaller commanded acceleration when the AUAV is in complex and large maneuvering escape. Compared with the sliding mode variable structure guidance, the guidance law has larger Performance improvement.