Design of Composite Tracking Control System for Flight Detectors Based on Big Data Clustering
Flight detectors are prone to environmental interferences such as meteorological conditions and magnetic fields,which affects their trajectory and subsequently decreases the tracking accuracy.In order to realize the real-time tracking and control of flight detectors'trajectory,a composite tracking control system of flight detectors 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,the real-time connection status of micro inertial sensor devices is adjusted to complete the hardware design of the flight detector composite tracking control system.The big data clustering algorithm is perfected to define the specific composite tracking coordinate system according to the calibration results of tracking path nodes,complete the real-time control model-ing of composite tracking for flight detectors,and realize the design of composite tracking control system for flight detectors based on big data clustering combined with relevant application components.Experimental results show that the average tracking accuracy of the designed system for tracking targets 1 and 2 is 96.5％and 97.0％,respectively,with an average tracking delay for targets of 0.9 ms,which can ensure the real-time control ability of the base station host on the motion trajectory of flight detectors.
big data clusteringflight probetracking controlservo drive equipmentbeacon machinemicro inertial sensorpath nodecomposite coordinate system
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