With the continuous improvement in the guidance accuracy and maneuverability of infrared-guided air-to-air missiles, combat aircraft find it increasingly difficult to effectively evade the risk of infrared missile hits through maneuvering avoidance or single infrared countermeasures alone. As a result, composite infrared countermeasures have become a critical means to ensure aircraft survivability. To address the challenge of airborne terminal composite infrared countermeasures, this study proposes an intelligent decision-making method based on an improved Proximal Policy Optimization (PPO) algorithm. From the perspective of the airborne terminal confrontation scenario, the decision constraints faced by combat aircraft under infrared-guided missile attacks are analyzed, and models for infrared decoy flares and laser directional jamming are established. An improved PPO algorithm incorporating a dynamic asymmetric clipping mechanism and a fusion of temporal memory and attention mechanisms is proposed to enhance convergence efficiency and solution quality. Furthermore, a reward function integrating the characteristics of jamming means is designed, incorporating overuse and ineffective-use penalty terms to achieve a rational balance between jamming effectiveness and resource consumption. Simulation results demonstrate that the intelligent decision-making method for infrared composite jamming can organize infrared jamming measures in a reasonably coordinated manner, exhibiting excellent performance under various typical aircraft-missile confrontation scenarios. Compared with the original near-end strategy optimization algorithm, the flexible action-evaluation algorithm, and the preset rule-based method, this method shows significant advantages in metrics such as aircraft survivability, missile miss distance, and resource utilization efficiency, demonstrating good application value.

With the raising complexity of modern civil aircraft, both academy and industry have shown strong interests on MBSE (Model-Based System Engineering). However, following the application of MBSE, the duration of the design phase exceeded expectations. This paper conducted a survey to the relevant participants involved in the design, revealed that a lack of proper process management is a critical issue. The current MBSE methodology does not provide clear guidelines for monitoring, controlling, and managing processes, which are crucial for both efficiency and effectiveness. To address this, the present paper introduced an improved Process Model (PM) within the MBSE framework for civil aircraft design. This improved model incorporates three new Management Blocks (MB): Progress Management Block (PMB), Review Management Block (RMB), and Configuration Management Block (CMB), developed based on the Capability Maturity Model Integration (CMMI). These additions aim to streamline the design process and better align it with engineering practices. The upgraded MBSE method with the improved PM offers a more structured approach to manage complex aircraft design projects, and a case study is conducted to validate its potential to reduce timelines and enhance overall project outcomes.