Research on method of comprehensive electronic system reconstruction for multi-tasking

面向多任务的综合模块化航空电子系统重构方法

¹ Northwestern Polytechnical University, Xi'an 710072, China
² The First Aircraft Institute, Xi'an 710089, China
³ Aeronautics Computing Technology Research Institute, Xi'an 710068, China
⁴ China Academy of Launch Vehicle Technology, Beijing 100076, China

Received: 12 September 2024

Abstract

The integrated modular avionics system is widely used in the aviation field due to its flexibility, ease of modification, and high fault tolerance. However, the system faces changing environments and evolving multi-tasking requirements. Existing manual configuration methods and traditional algorithms for generating reconstruction blueprints have limitations in terms of automation and quality assurance. They struggle to meet the increasing complexity and difficulty of resource scheduling during task switching in the comprehensive electronic system. In this paper, the DDQN-MS-NN reconstruction algorithm is proposed to address these challenges. The algorithm focuses on generating multi-tasking reconstruction blueprints for the comprehensive electronic system, improving the automation level and quality of resource scheduling, by introducing multi-step learning and noise network mechanism. Experimental results show that, the DDQN-MS-NN reconstruction algorithm can enhance system stability and resilience compared with traditional algorithms.

摘要

综合模块化航空电子系统(integrated modular avionics, IMA)因其灵活性、易更改、高容错等特点广泛应用于航空领域。然而, IMA面临多变的环境和频繁变更的需求, 现有的人工配置重构蓝图和传统算法生成重构蓝图方法存在自动化程度低、质量难以保证等问题, 难以满足IMA任务切换时对资源调度的复杂度和难度不断提升的需求。针对IMA的多任务重构蓝图生成问题, 提出了基于多步学习和网络噪声的DDQN-MS-NN重构算法, 提高了资源调度的自动化水平和质量, 从而提升IMA的稳定性和抗风险性。