基于Gauss伪谱法的多UAV协同航迹规划

将伪谱法应用于多无人飞行器（Unmanned Aerial Vehicle, UAV）协同航迹规划,给出了基于Gauss伪谱法（Gauss Pseudospectral Method, GPM）的多UAV协同航迹规划方法。根据UAV的物理特性,结合协同规划的要求,建立了多UAV协同规划的最优控制模型。此模型包括UAV机动性能约束、路径约束、多UAV协同打击约束和集结区约束;利用GPM将最优控制问题转化为非线性规划问题,并用非线性规划软件求解。仿真结果表明,该方法能够满足多UAV的协同规划要求,具有较高的求解精度。     

Three-dimensional cooperative guidance strategy and guidance law for intercepting highly maneuvering target

Cooperative interception of the target with strong maneuverability by multiple missiles with weak maneuverability in the three-dimensional nonlinear model is studied. Firstly, the three-dimensional nonlinear model of cooperative guidance is established. The three-dimensional reachable region is represented composed of lateral acceleration and longitudinal acceleration in the two-dimensional coordinate system. Secondly, the problem of the multiple missile's reachable coverage area is transformed into the problem of cooperative coverage. A cooperative coverage strategy is proposed and an algorithm for quickly calculating the number of required missiles is designed. Then, the guidance law based on the cooperative coverage strategy is proposed, and it is proved that cooperative interception of the target can be achieved under the acceleration limit. Moreover, the relations among the number of missiles, the initial array position of terminal guidance and the coverage area of the target’s large maneuver are analyzed. The dynamic adjustment strategy of guidance parameters is proposed to reduce the guidance error. Finally, simulation results show that multiple missiles with low maneuverability can achieve effective interception of target with strong maneuverability through the proposed cooperative strategy and cooperative guidance method.     

An optimal one-way cooperative strategy for two defenders against an attacking missile

This paper investigates a cooperative strategy for protecting an aerial target.The problem is solved as a game among four players(a target,two defenders,and a missile).In this scenario,the target launches two defenders(defender-1 and defender-2)simultaneously,to establish a oneway cooperation system(OCS)against an attacking missile.A new optimal evasion strategy for the target is also derived.During the engagement,the target takes into account the reaction of the attacking missile,and guides defender-1 to the interception point by receiving information from defender-1.Depending on the control effort of the target,defender-2 can choose appropriate launch conditions and use very limited maneuvering capability to intercept the missile.For adversaries with first-order dynamics,simulation results show that the OCS allows two defenders to intercept the missile.During the engagement,even if one defender or communication channel is broken,the OCS still allows an interception to be made,thus increasing the target’s survivability.     

一种综合优势下的空空导弹接力制导混合优化方法

基于综合制导优势函数提出了一种接力制导的遗传粒子群混合优化方法。通过建立飞机对导弹的优势模型、飞机对目标的态势优势模型、敌方飞机对我方飞机的威胁度模型以及作战飞机效能优势模型四个子模型，给出了作战飞机综合制导优势评估模型。结合接力制导约束条件，建立以综合制导优势最大为目标的空空导弹中制导权移交决策模型，并给出了基于遗传粒子群混合算法的空空导弹接力制导优化方法。最后，对八架飞机接力制导四枚空空导弹的情况进行仿真，验证了该模型及算法的有效性和正确性。     

大气层外多拦截器协同跟踪与制导算法

针对大气层外多弹头多诱饵的进攻场景，采用多拦截器全拦截策略，提出了带故障诊断的协同跟踪算法、时间协同中制导律以及消除脱靶量的末制导律。首先，基于最小二乘算法以及误差传播理论，实现了局部信息融合以及测量方程的线性化，简化了非线性跟踪滤波算法的设计；并依托滤波算法，设计了传感器故障诊断算法，以排除其对跟踪效果的影响。然后，基于对拦截器和目标受力的合理简化，给出了相对运动解析解，设计了有限推力下的多拦截器时间协同中制导律以及末制导律，实现对多个目标的同时击毁。仿真结果显示，本文设计的协同跟踪与制导算法，可以有效估计目标的状态并排除故障传感器的干扰，实施对多个目标的时间协同拦截。     

Q-learning强化学习协同拦截制导律CSCD

为实现多枚导弹协同拦截机动目标,提升拦截效能,提出了一种Q-learning强化学习协同拦截制导律。首先,基于逃逸域覆盖理论,建立了非线性多弹协同拦截模型。其次,以视线角速率为状态,依据脱靶量构造奖励函数,通过离线训练生成强化学习智能体,并结合传统比例制导控制方法,构建基于强化学习的变导引系数制导律,实时生成实现协同拦截的制导指令。最终,通过数值仿真验证了所提算法的有效性和优越性。     

基于最大一致容积Kalman滤波器的多机器人协同定位CSCD

机器人位置信息是多机器人系统执行任务的前提,单个机器人因传感器载荷和作用范围的限制,难以完成复杂环境中的定位任务,多个机器人通过协作可实现大范围下的位置确定。将配置多个传感器的同构机器人群替换为配置单个或少量传感器的异构机器人可降低硬件成本,并且通过设计协同算法,不会降低定位精度。提出了一种将容积Kalman滤波器与最大一致思想融合后的新型滤波算法,并将该算法应用于麦克纳姆轮机器人系统。通过仿真和实物验证了最大一致容积Kalman滤波器的协同定位效果。     

Obstacle avoidance for multi-missile network via distributed coordination algorithm

A distributed coordination algorithm is proposed to enhance the engagement of the multi-missile network in consideration of obstacle avoidance. To achieve a cooperative interception,the guidance law is developed in a simple form that consists of three individual components for target capture, time coordination and obstacle avoidance. The distributed coordination algorithm enables a group of interceptor missiles to reach the target simultaneously, even if some member in the multi-missile network can only collect the information from nearest neighbors. The simulation results show that the guidance strategy provides a feasible tool to implement obstacle avoidance for the multi-missile network with satisfactory accuracy of target capture. The effects of the gain parameters are also discussed to evaluate the proposed approach.     

一种拦截机动目标的多导弹协同制导律

针对多导弹协同拦截一个机动目标问题,基于有限时间一致性理论提出了一种带有攻击角约束的多导弹协同制导律。首先建立了带有攻击角约束的多导弹协同制导模型。其次,把协同制导律的设计过程分离为两个部分：一是基于有限时间一致性,同时结合积分滑模和自适应控制设计沿着视线方向上的加速度指令,保证所有的导弹能够在有限时间内同时拦截机动目标;二是利用非齐次干扰观测器并运用滑模控制设计视线法向上的加速度指令来保证每枚导弹与目标间的视线角速率收敛到零和视线角收敛到期望的视线角。最后,对三枚导弹同时打击同一机动目标的情况进行仿真,仿真结果表明该设计的带有攻击角约束的协同制导律的有效性和正确性。     

基于未知地标被动观测的弹群INS定位误差协同修正方法

针对弹群协同编队飞行中,编队成员单独使用惯导系统（INS）时存在定位误差发散的问题,基于相同性能的多套INS在相同环境下工作时,其误差近似呈零均值高斯分布这一特性,提出了一种利用成像导引头对航路上任一未知地标被动观测的弹群INS定位误差协同修正方法。首先,融合弹群中各枚导弹相对于地标的视线角量测信息及INS位置量测信息,利用最小二乘思想对未知地标进行协同定位;然后,基于估计得到的地标位置,利用各枚导弹相对于地标的视线角和方位角速率量测信息及INS速度量测信息,反过来修正弹群中各枚导弹的INS定位误差。最后,仿真验证了方法的有效性。