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Contents:2024,Vol:29,Issue(2):78-96 |
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Citation: |
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ZHANG Yangkang, PENG Xufei, LEI Yu, WANG Shuangjia. Research on MBSE Application for Radio Navigation System[J]. International Journal of Plant Engineering and Management, 2024, 29(2): 78-96 |
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| Research on MBSE Application for Radio Navigation System |
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| ZHANG Yangkang, PENG Xufei, LEI Yu, WANG Shuangjia |
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| Xi'an Flight Automatic Control Research Institute, Aviation Industry Corporation of China, Xi'an 710076, China |
| Abstract: |
| The rapid development of concepts and technologies for civil aircraft navigation systems has put forward higher requirements for agile iteration and integrated design verification in the research and development(R＆D) process. Traditional document based system engineering (DBSE) methods have gradually become inadequate. Model based system engineering (MBSE) is fully based on user's needs and is carried out from top to bottom, in line with the concept of forward design. It is gradually being applied in the development of civil aircraft systems. This article focuses on the civil aircraft radio navigation system and proposes a complete system engineering solution based on models, from system design and development to validation. Guided by the Arcadia methodology, with Capella modeling tool, Simulink simulation tool, and system validation tool, the complete R＆D process from design and development to testing and validation was achieved through model construction, code generation, and testing validation. A radio navigation station selection optimization method based on machine learning was proposed, and results had good signal quality and persistence. The verification result of Beijing-Shanghai flight route shows MBSE method practiced in this article can ensure the feasibility of the entire process of radio navigation system development, as well as the rationality of tuning and positioning result. By automatically generating code to form a universal functional module, an optimization method that integrates different radio navigation station selection strategies is achieved, providing new ideas for the development and design of radio navigation systems. |
| Key words:
MBSE
radio tuning
machine learning
civil aircraft
development process
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| Received: 2024-04-05
Revised:
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| DOI: 10.13434/j.cnki.1007-4546.2024.0202 |
| Corresponding author:
Email： |
| Author description:
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References: |
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