考虑落角约束与驾驶仪特性的自适应RBF空间末制导律

为使大口径舰炮制导炮弹在打击近岸机动目标的末制导段满足落角约束,现考虑自动驾驶仪动态特性,基于自适应RBF逼近网络与动态面滑模提出一种空间末制导律。构建空间弹目相对运动模型,通过带改进微分跟踪器的扩张状态观测器估计目标加速度。为零化视线角跟踪误差与视线角速率,采用自适应指数趋近律设计非奇异终端滑模动态面,并运用自适应RBF逼近网络削弱控制指令抖振。通过Lyapunov第二法证明了全系统中视线角跟踪误差与视线角速率均最终一致有界。仿真实验表明：该末制导律使制导炮弹在空间中打击具有不同机动形式的近岸目标时,均具备良好的末制导性能。

Adaptive RBF Space Terminal Guidance Law with Terminal Angle Constraints and Autopilot Lag

In order to make large caliber naval gun guided projectile(GP) satisfy terminal angular constraint while striking near shore maneuver target in terminal guidance section, a space terminal guidance law based on adaptive RBF approximation network and dynamic surface sliding mode was proposed with considering dynamic characteristics of autopilot. The space relative motion model of GP and target was constructed, and extended state observer with modified tracking differentiator(MESO) was used to estimate acceleration of target. Aiming at zeroing tracking error about line of sight angle and angular velocity, nonsingular terminal dynamic surface sliding mode was designed with adopting adaptive exponential reaching law. Adaptive RBF approximation network was applied to weakening control instruction chattering. The tracking error about line of sight angle and angular velocity in whole system is uniformly bounded, which is proved by Lyapunov second method. Simulation experiment shows this terminal guidance law makes GP possess well terminal guidance performance while striking targets with different maneuver forms in space.