Design And Research Of A Miniature Airborne System For Atmospheric Data

Atmospheric data airborne systems are now widely used on aircraft,and their output flight data directly affects the safety and performance of the aircraft.To ensure the flight safety and stability of aircraft,including the accurate acquisition of atmospheric data information under system failure or adverse weather conditions,this paper takes the digital modelling of atmospheric data airborne systems and the fusion of information under multiple devices as a research topic.Focus on the atmospheric data system design requirements,atmospheric parameters to find the optimal value of the problem of research,the system with inertial navigation system,global positioning system as a complement to the atmospheric data system information fusion technology,the main research content are the following aspects.(1)for the traditional means of aircraft acquisition can not meet the urgent needs of real-time data acquisition and the realization of intelligent,proposed a MEMS sensor-based data acquisition technology,real-time acquisition and application of the speed and altitude in flight.The principle of the data acquisition system will be analysed,for the atmospheric data system excitation parameters and output parameters present a complex non-linear function relationship,which is not conducive to accurate solution.Real-time data acquisition is achieved through the main program software loop without affecting the flight accuracy,and a specific numerical solution method is investigated to improve the efficiency of the solution.(2)A redundant and fault-tolerant design of the UAV based on the trajectory projection algorithm is proposed to address the problem of atmospheric data systems losing or having large errors in atmospheric parameter information due to climate,electromagnetic waves and other factors.The design method of equipment redundancy and data fault tolerance is used to improve the stability of the equipment,and the atmospheric data acquisition system is the main one,supplemented by inertial sensors and global positioning system(GPS)to form an integrated system of information redundancy.The stability of the equipment is improved,thus ensuring the flight safety of the UAV.(3)The information fusion algorithm based on the atmospheric data system is studied.The Kalman filter theory is used to design the filtering algorithm for information fusion of the system,the raw atmospheric parameters read by the sensors are filtered and their errors are analysed,the weights of each sensor are obtained by cardinality detection and residual cardinality detection,and finally the optimal data values are obtained by information fusion,and their validity is verified by simulation.This paper addresses the problems of existing airborne systems with atmospheric data,and designs a multi-source information data fusion method that combines a track projection algorithm with fault-tolerant Kalman filtering.This information fusion algorithm ensures the safety of the flight system operation and provides a reliable operating environment and validation support for the research work in this paper.