Study Of Avionics Flying Laboratory Information Fusion Technology And Application

Avionics Flying Laboratory(AFL) is mainly used for demonstrating the correctness of various of avionics system solutions, which is an important indicator to measure a country’s aviation industry developed. But how to design open system architecture of AFL simulation platform is very challenging. Especially when applying the information fusion technology to open system architecture to get a more reliable verification is more difficult. As a result, the relevant research literatures are not much. Aiming at this problem, this paper based on the study of distributed simulation and information fusion technology, analyzed the AFL’s modeling and simulation. And then designed and programmed the AFL software. Finally a comprehensive evaluation method was introduced into this paper to condect a credibility evaluation for AFL simulation system.The main points of this paper are as follows:1. Research on key technologies and demands of AFL distributed simulation system design. In this paper, the method of technology graft was used to draw a comparative analysis of two kinds of simulation system and use its improved technology to help design the AFL simulation system. In this way we finally Propoesd a system architecture oriented airborne avionics system for distributed information fusion simulation.2. Research on AFL multi-sensor information fusion strategy as well as algorithm. Due to different sensor have different data characteristics, resulting in different fusion strategies. This paper firstly analyzed some common characteristics of sensor data, and then combined with the demands of system under test on this basis to develop three fusion strategies. For first two fusion strategies, the paper reference a weighted fusion algorithm based on local state estimations to deal with corresponding fusion algorithm. To get a better real-time performance, the paper adopted the thought based on weighted fusion to realize the third fusion algorithm. Following that is the simulation test, which turns out the the effectiveness of the fusion strategies and algorithms.3. Implementation and application of AFL simulation platform. Program each simulation App in Visual C++ 6.0, using MFC and ProEssentials technology to develop a visual interface. After a comprehensive analysis and study of tested system requirements, the paper designs three test cases to verify the performance of AFL simulation system. The test results showing that the AFL software is running well. Besides, The AFL software is able to flexibility choose the system under test and fusion strategies, which indicating that the system reliability, stability and scalability are better.4. Comprehensively evaluate AFL simulation system’s confidence. For simulation credibility involved in all aspects of modeling and simulation, the paper firstly research several common assessment methods, and then established system credibility assessment model. On this basis, the paper applies the Analysis Hierarchy Process(AHP) method to establish evaluation index system and determine the index weight. Method to determine the index credibility components are also a lot, the similarity theory as well as other methods are used to evaluate the credibility component of each index. Finally, by combining index weight and component of credibility, the paper ultimately calculate the credibility of AFL simulation system. Evaluation results show that the AFL has a high credibility, which to some extent suggesting that related work conduct in this paper has a positive engineering reference value for applying the information fusion technology to in-flight simulation test aircraft research and design.