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基于模型预测控制的无人机对海面小型目标的隐蔽跟踪

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针对具备对空探测防卫能力的海面小型机动目标的跟踪问题,提出了一种基于非线性模型预测控制的隐蔽跟踪方法.首先,搭建了无人机和海面小型机动目标的运动学模型,并对海面小型目标携带的无人机探测装备进行了能力分析;其次,根据海面小型目标携带的探测装备的性能参数,设计出一条隐蔽的期望包围跟踪轨迹,并以此建立相应的无奇点导航向量场;最后,设计非线性模型预测控制器,以跟踪导航向量场给出的期望速度信号,实现单架无人机对非协同海上运动目标的隐蔽跟踪.仿真结果表明,使用非线性模型预测控制器,能在保证较好的控制精度下,显著减少无人机的能量消耗,增加控制器输出的平滑性.
Covert Tracking of Small Maritime Target Using Unmanned Aerial Vehicle Based on Model Predictive Control
In order to solve the problem of tracking small maritime target on the sea surface with anti-space detection and defense capability,a covert tracking method based on nonlinear model predictive control is proposed.Firstly,kinematic models are established for both the UAV and the small maritime target,with subsequent analysis conducted on the UAV detection equipment mounted on the maritime target to assess its capability.Secondly,a covert desired tracking trajectory is designed based on the performance parameters of the onboard radar on maritime target,and a Singularity-Free Guiding Vector Field is constructed.Finally,the UAV uses a nonlinear model predictive controller to track the desired velocity pro-vided by the guiding vector field,achieving covert tracking for the non-cooperative small maritime target.Simulation re-sults demonstrate that the nonlinear model predictive controller can significantly reduce UAV energy consumption and in-crease the smoothness of the controller output while maintaining better control accuracy.

UAV covert trackingsmall maritime moving targetSingularity-Free Guiding Vector Fieldnonlinear model predictive control

李佳航、田景志、吕跃勇、张泽旭、郑重

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哈尔滨工业大学航天学院,黑龙江哈尔滨 150001

32207部队,陕西榆林 719000

哈尔滨工业大学机电工程学院,黑龙江哈尔滨 150001

无人机隐蔽跟踪 海面小型机动目标 无奇点导航向量场 非线性模型预测控制

2024

海军航空大学学报
海军航空工程学院科研部

海军航空大学学报

CSTPCD
影响因子:0.279
ISSN:
年,卷(期):2024.39(6)