红外仿真装置中的光标二级控制技术

为了实现对光束目标位置的高精度控制，可以采用二级控制方法──粗定位与精定位。这种控制策略在红外仿真装置中得到了应用。     

反舰导弹最优滑模制导律仿真研究

针对传统比例导引法攻击机动目标的不足,建立了三维空间中反舰导弹和目标的相对运动模型,在研究反舰导弹攻击非机动目标的最优制导律基础上,利用俯仰和偏航两个平面相叠加的方法,结合滑模控制理论设计了工程上易于实现的三维模型下的反舰导弹最优滑模制导律。仿真结果表明,给出的导引律在攻击机动目标时制导精度高、脱靶量小,导引控制过程具有良好的动态性,性能明显优于传统的比例导引律。     

可重复使用运载器预测-校正再入制导研究

研究了可重复使用运载器的预测-校正再入制导方案。通过对运动方程积分预测飞行器在能量管理段界面处的终端状态,实时调整迎角和倾侧角方案,以使终端状态误差满足要求。对预测-校正算法的实时性问题进行了分析,并给出了解决方案。仿真结果表明,对于不同的初始再入条件,制导方案都可以将飞行器导引到能量管理段界面。     

远程空空导弹攻防成功概率研究

攻防成功概率是衡量远程空空导弹武器系统作战效能的关键性指标。在研究被动/主动双模导引头远程空空导弹末制导截获概率模型和载机生存概率模型的基础上,建立了攻防成功概率的计算模型,并以F-16战斗机为打击目标进行了验证,进而根据算例结果分析了诸因素对攻防成功概率的影响,为远程空空导弹的作战效能评估提供了有益的参考。     

Optimal predictive sliding-mode guidance law for intercepting near-space hypersonic maneuvering target

The design of optimal guidance law for intercepting a near-space hypersonic maneuvering target with bounded inputs is considered. Firstly, a maneuvering model for near-space hypersonic aircraft is given. Then, the aircraft acceleration prediction can be obtained using this model with two neural networks. By using the target acceleration prediction, which is taken into account when calculating the Zero Effort Miss(ZEM), an optimal sliding-mode guidance law is proposed to fulfill the guidance task...     

Saturated super-twisting sliding mode missile guidance

This paper concentrates on developing a missile terminal guidance law against a highly maneuvering target whose maneuvering acceleration is very close to that of the missile or even exceeds the missile normal acceleration in a finite period of time. A new saturated super-twisting algorithm is proposed and applied to the design of missile guidance law. The proposed algorithm has the advantages of simple structure, easy parameter tuning rules and a full utilization of the limit control input. The designed saturated super-twisting sliding mode guidance law is then employed in a missile guidance system. Simulation and its superior performance against strong maneuvering targets is demonstrated.     

A unified formulation of optimal guidance-to-collision law for accelerating and decelerating targets

This paper provides a unified formulation of optimal guidance-to-collision law for a target with an arbitrary acceleration or deceleration. The collision course for general target acceleration or deceleration is first determined from the engagement geometry in conjunction with the nonlinear engagement kinematics in the proposed approach. The heading error defined in the collision course is then adopted as a variable to be nullified for accomplishing the intercept condition.The proposed guidance ...     

基于信任域策略优化的末制导控制量学习算法CSCD

近年来,深度强化学习在解决序列决策问题上取得了很大进展,无模型强化学习算法在与环境不断交互的过程中学习策略,不需要提前对环境建模,使其适用于许多问题。针对以往使用强化学习进行末制导策略学习的训练不稳定问题,使用信任域策略优化算法直接学习末制导控制量,同时设计了一种新颖的奖励函数,可以提高训练稳定性和算法性能。在二维环境下进行了实验,结果表明,该算法具有良好的训练稳定性,并可以达到很好的命中效果。     

最小生理噪声进场航迹飞行管理方法

 微波着陆系统MLS的最优航迹计算以减小居民最敏感的生理噪声为基本优化性能准则,用感觉噪声级Sone为单位。计算了考虑了噪声传播时温度、风梯度、沿进场航迹附近区域生活居民区分布位置及密度等影响。通过对杜塞尔道夫-罗奥申航空港计算结果证实,使航空港附近居民的平均有效感觉生理噪声级(Sone)较原有Jeppesen标准方式降低了20％以上。     

Distributed three-dimensional cooperative guidance via receding horizon control

The paper presents a new three-dimensional (3D) cooperative guidance approach by the receding horizon control (RHC) technique. The objective is to coordinate the impact time of a group of interceptor missiles against the stationary target. The framework of a distributed RHC scheme is developed, in which each interceptor missile is assigned its own finite-horizon optimal control problem (FHOCP) and only shares the information with its neighbors. The solution of the local FHOCP is obtained by the constrained particle swarm optimization (PSO) method that is integrated into the distributed RHC framework with enhanced equality and inequality con-straints. The numerical simulations show that the proposed guidance approach is feasible to imple-ment the cooperative engagement with satisfied accuracy of target capture. Finally, the computation efficiency of the distributed RHC scheme is discussed in consideration of the PSO parameters, con-trol update period and prediction horizon.