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Cooperative trajectory optimization of UAVs in approaching stage using feedback guidance methods
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作者 Hao-ran Shi Fa-xing Lu Ling Wu 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2023年第6期361-381,共21页
This paper mainly studies the problem of using UAVs to provide accurate remote target indication for hypersonic projectiles.Based on the optimal trajectory trends and feedback guidance methods,a new cooperative contro... This paper mainly studies the problem of using UAVs to provide accurate remote target indication for hypersonic projectiles.Based on the optimal trajectory trends and feedback guidance methods,a new cooperative control algorithm is proposed to optimize trajectories of multi-UAVs for target tracking in approaching stage.Based on UAV kinematics and sensor performance models,optimal trajectory trends of UAVs are analyzed theoretically.Then,feedback guidance methods are proposed under the optimal observation trends of UAVs in the approaching target stage,producing trajectories with far less computational complexity and performance very close to the best-known trajectories.Next,the sufficient condition for the UAV to form the optimal observation configuration by the feedback guidance method is presented,which guarantees that the proposed method can optimize the observation trajectory of the UAV in approaching stage.Finally,the feedback guidance method is numerically simulated.Simulation results demonstrate that the estimation performance of the feedback guidance method is superior to the Lyapunov guidance vector field(LGVF)method and verify the effectiveness of the proposed method.Additionally,compared with the receding horizon optimization(RHO)method,the proposed method has the same optimization ability as the RHO method and better real-time performance. 展开更多
关键词 Unmanned aerial vehicles(UAVs) target tracking Trajectory optimization Receding horizon optimization(RHO) feedback guidance method
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基于后验信息修正的自适应交互多模型跟踪算法 被引量:7
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作者 黄鹤 王小旭 +2 位作者 赵春晖 梁彦 潘泉 《西北工业大学学报》 EI CAS CSCD 北大核心 2011年第6期829-833,共5页
针对目标运动状态变化较大甚至发生突变时,传统交互式多模型算法跟踪精度和稳定性会显著下降的问题,提出了一种在线辨识马尔可夫概率转移矩阵参数的基于后验信息修正的自适应交互多模型跟踪算法,该方法在滤波的过程中,根据不匹配模型误... 针对目标运动状态变化较大甚至发生突变时,传统交互式多模型算法跟踪精度和稳定性会显著下降的问题,提出了一种在线辨识马尔可夫概率转移矩阵参数的基于后验信息修正的自适应交互多模型跟踪算法,该方法在滤波的过程中,根据不匹配模型误差压缩率的变化自适应调整先验的马尔可夫转移概率矩阵的参数,切换过程中较多地压缩不匹配模型的信息,放大匹配模型的信息,大大提高了系统的收敛速度。通过对仿真结果分析表明,论文提出的算法具有可靠、计算简便、快速等特点,模型滤波精度较高,具有一定的理论价值和实用价值。 展开更多
关键词 交互式多模型 马尔可夫参数 后验信息 目标跟踪
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利用反馈法逐步引导轨道到目标
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作者 覃团发 倪皖荪 杜功焕 《南京大学学报(自然科学版)》 CSCD 1996年第4期575-580,共6页
利用反馈法通过对系统参数作小的扰动逐步引导轨道从系统的任一初始状态到目标态。这方法非常简单,有效和它的理论建立在Lyapunov稳定性理论。
关键词 目标态 中间目标态 浑沌 系统论 反馈法
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