A multi-phase approach to digital-physical testing of aerospace systems

To ensure the effective verification and evaluation of aerospace equipment across multiple stages—including ground inspection, low-altitude tests, and in-orbit experiments—this paper proposes a digital-physical fusion testing method for system-level complex aerospace products, enabled by digital twin technology. Addressing the requirements for integrated test design, analysis, and validation, this paper proposes a comprehensive framework that incorporates pre-production research and testing, in-production debugging, manufacturing-preparation testing, post-production verification, and performance optimization. This framework deeply integrates key enabling technologies such as digital twins, artificial intelligence, and digital-physical fusion to support capabilities including early-stage design and planning, R&D process assistance, full-system distribution optimization, functional evaluation and validation, and intelligent iterative optimization for aerospace equipment. The goal is to provide full-lifecycle, multi-dimensional, and high-precision testing and verification support for aerospace equipment, thereby significantly improving research and development efficiency, reducing testing costs, and enhancing system reliability and mission success rates.