Research On The Key Technology Of Civil Aircraft Flight Control System Health Management

Flight control system is an important critical system of modern civil aircraft.Maitenance of the flight control system is very important to ensure the safety and reliability of running it.With the rapid growth in the number of domestic civil aircraft,and airborne flight control system being more and more complex,reliability of the flight control system put forward higher requirements,the corresponding maintenance tasks and maintenance costs increase significantly.The principle and method of health management is introduced to the maintenance decision-making of flight control system to improve the reliability and efficiency of maintenance and increase the economic benefit evaluation of aircraft operations.Building an effective health management system for real-time monitoring,fault prediction and life evaluation of aircraft,ensure flight safety.The research progress and the application example of the health management of civil aviation aircraft are analyzed,and the general methods and standards of the health management system are studied.From the point of view of health management,this paper analyzes the working principle,fault types,parameters characteristics and sensors type of typical civil aircraft flight control system.The QAR data of the flight control system of a certain aircraft is analyzed in detail,and the relevant parameters of the flap subsystem are extracted.Aiming at the typical failure of the flap opening time too fast or too slow,the data are analyzed and processed.According to the different flight phases divide the QAR data,the initial data fusion of the multi-sensor data is obtained with the unique value of the same parameter.The data were normalized to eliminate the interference of the data magnitude gap.The PCA algorithm is used to reduce the data redundancy,and the BP neural network is used to establish the fault model.The golden section method is used to select the optimal network structure,and the test data are used to evaluate the model.From the point of view of healthmanagement,the model is evaluated and analyzed.The results show that the model has a significant effect on the testing state of the system.