Parameter-Orientated Functional Modeling Method Based on Flight Process

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 680)


The system function execution intimately couples with the flight process, which is regarded as a critical factor to evaluate the system design comprehensively and precisely. Intending to establish the flight process-oriented functional model, this paper proposed a functional modeling method centering on parameter relationships, establishing the functional architecture of the system in multiple scenarios from the perspective of the flight process. Foremost, the functions of aircraft systems are categorized according to the application, then the system functional blocks of each category are further decomposed, with functional parameters and performance parameters embedded respectively. Progressively, the function completion status is constrained through the functional parameter relationships considering the dimensions of control demand, input parameters, physical components, etc., as well as the logic gates setting forth configuration relevance, and the specific blocks regarding the flight scenario collectively., rendering a comprehensive system-level functional architecture. The paper modeled the concrete functional flows of typical avionics systems, and evaluated functional completion status in various scenarios via Enterprise Architect, verified the efficiency and correctness of the method. The method facilitates the combination of the function model with the flight process, which is capable of measuring the rationality of the functional mechanism from an overall perspective in the early development stage.


Model based system engineering Functional modeling Flight process SysML 



The project is supported by National Program on Key Basic Research Project (2014CB744903), National Natural Science Foundation of China (61673270), New Young Teachers Launch Program of Shanghai Jiaotong University (20X100040036), Shanghai Pujiang Program (16PJD028), Shanghai Industrial Strengthening Project (GYQJ-2017-5-08), Shanghai Science and Technology Committee Research Project (17DZ1204304) and Shanghai Engineering Research Center of Civil Aircraft Flight Testing.


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Copyright information

© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  1. 1.Shanghai Jiao Tong UniversityShanghaiChina

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