Comparative analysis of methods for developing aviation adaptive systems and the generalized MFTA/GDTA/CTA/CWA METHOD

DOI 10.51955/2312-1327_2023_3_45

Gennadiy V. Kovalenko

Ilya A. Yadrov

Abstract. The results of implementing automated technologies in various areas of the air transportation system demonstrate a positive impact of automation on the level of safety and efficiency of flights. However, this leads to a situation where the capabilities of modern technology significantly exceed the limited capabilities of a human operator: this fact indicates the necessity of applying a special approach directed at ensuring favorable interaction with humans in creating automated aviation systems. The paper is devoted to the methodology issues in the field of creating aviation adaptive systems (AS) and provides a comparative analysis of the most popular analytical methods for AS development. Additionally, a generalized method for conducting the MFTA/GDTA/CTA/CWA analysis is proposed, which is developed based on the methods of dismemberment, morphological analysis, and combination. The proposed generalized method involves the following stages: 1) analysis of goals and tasks; 2) analysis of subtasks and requirements for ensuring situational awareness; 3) cognitive analysis. As a result of these stages, the list of the main tasks of the system, a complete structural scheme of the developed AS and a cognitive analysis scheme, which contributes to determining the most probable errors of the operator for each critical stage of system functioning, are created. The advantages of the proposed generalized method lie in the fact that its implementation focuses on ensuring the operator’s situational awareness, and allows for the evaluation of risks caused by the external environment of the system functioning in order to determine the optimal level of adaptation and the way to support the crew members of the aircraft by the automation at each stage of their interaction.

Keywords: automation, aviation automatics, human-machine systems, adaptive systems, analysis methods, MFTA, HTA, GDTA, CTA, CWA.

Download article in PDF 645.9 kB