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Model-Based Systems Engineering Methodology for Implementing Networked Aircraft Control System on Integrated Modular Avionics – Environmental Control System Case Study
Technical Paper
2018-01-1943
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Integrated modular avionics (IMA) architectures host multiple federated avionics applications on a single platform and provide benefits in terms of size, weight, and power, which, however, leads to increased complexity, especially during the development process. To cope efficiently with the high level of complexity, a novel, structured development methodology is required. This paper presents a model-based systems engineering (MBSE) development approach for the so-called “distributed integrated modular architecture” (DIMA). The proposed methodology adapts the open-source Capella tool, based on the Architecture Analysis & Design Integrated Approach (ARCADIA) methodology, to implement a complete design cycle, starting with requirements captured from the aircraft level to streamline the development, culminating in the integration of an avionics application into an ARINC 653 platform. This paper shows how to address the variability of technology implementations at the aircraft and system levels and how the specification artifacts are efficiently managed and traced from the aircraft to the system to the item level to implement the SAE ARP4754A guidelines. The effectiveness of the methodology is presented via a case study of the integration of an environmental control system (ECS) into aircraft control architecture, illustrated for the cabin pressure control system (CPCS). The guidelines derived are applicable to other aircraft systems. In addition, the presented paper provides important insights into the challenges and advantages of the MBSE process over the traditional paper-based specification process.
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George Mathew, P., Liscouet-Hanke, S., and Le Masson, Y., "Model-Based Systems Engineering Methodology for Implementing Networked Aircraft Control System on Integrated Modular Avionics – Environmental Control System Case Study," SAE Technical Paper 2018-01-1943, 2018, https://doi.org/10.4271/2018-01-1943.Also In
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