基于大数据聚类的飞行探测器复合跟踪控制系统设计

Design of composite tracking control system for flight detectors based on big data clustering

摘要:

飞行探测器会受到气象条件、磁场等环境干扰,影响探测器的运动轨迹,进而影响跟踪精度。为实现对飞行探测器运动轨迹的实时跟踪与控制,设计基于大数据聚类的飞行探测器复合跟踪控制系统。在复合框架体系中,设置主控芯片、伺服驱动设备两类应用结构,并联合信标机元件,调节微惯性传感器器件的实时连接状态,完成飞行探测器复合跟踪控制系统的硬件设计。完善大数据聚类算法,根据跟踪路径节点标定结果,定义具体的复合跟踪坐标系,完成对飞行探测器复合跟踪的实时控制建模,结合相关硬件,实现基于大数据聚类的飞行探测器复合跟踪控制系统的设计。实验结果表明,所设计系统的目标复合跟踪控制准确率较高,可以保证基站主机对飞行探测器运动轨迹的实时控制能力。

Abstract:

Flight detectors are subject to environmental interference such as meteorological conditions and magnetic fields, which can affect their trajectory and subsequently affect tracking accuracy. In order to realize real-time tracking and control of the flight detector"s trajectory, a composite tracking control system of flight detector based on Big data clustering is designed. In the composite framework system, two types of application structures are set up, namely the main control chip and servo drive device, and combined with beacon machine components to adjust the real-time connection status of micro inertial sensor devices, completing the core application component design of the flight detector composite tracking control system. Perfect Big data clustering algorithm, define specific composite tracking coordinate system according to the calibration results of tracking path nodes, complete real-time control modeling of composite tracking of flight detectors, and realize the design of composite tracking control system of flight detectors based on Big data clustering combined with relevant application components. The experimental results show that the designed system has a high accuracy in target composite tracking control, which can ensure the real-time control ability of the base station host over the motion trajectory of the flight detector.