DigiTech – Revolutionising aerospace testing with an adaptive real-time modular system for load control

飞机部件故障的后果可能是灾难性的。使用计算机控制的执行器进行广泛的物理负载测试对于认证至关重要。然而，飞机系统日益复杂，目标性能范围逐渐缩小，对负载测试控制系统提出了任何现有负载控制技术都无法满足的要求。未能为航空航天测试设备提供强大的未来供应链，会影响生产力，性能和安全性。RTC的目标是第一个具有成本效益的可扩展高性能解决方案，用于实时动态负载控制。DigiTech利用机器学习（ML）的先进技术，将关键功能分配到物理上独立的硬件模块中，以实现负载控制和数据管理的新型架构，并提供中央自适应用户界面。通过训练经过人工智能、开发机器人和数据处理验证的ML算法，负载控制的质量、功能、自动化、速度和成本发生了一步变化，模块化消除了对高度集中计算能力的需求，消除了快速配置（子）系统的障碍。DigiTech将从根本上减少交付/修改时间和初始/寿命成本。通过创新实现基于新技术方法的根本性上级解决方案，通过提高生产率、收入和利润率，显著提升RTC的竞争力和盈利能力。

The consequence of aircraft component failure can be catastrophic. Extensive physical load testing using computer-controlled actuators is vital for certification. However, the increasing complexity of aircraft systems, and tapering target performance envelopes, is placing demands on load test control systems that cannot be feasibly met by any existing load control technology. Failure to enable a robust future supply chain for aerospace test equipment has impacts on productivity, performance and safety. RTC target the first cost-effective scalable high-performance solution for real-time dynamic load control. DigiTech uses advances in machine learning (ML) and distribution of key functions into physically separate hardware modules to realise a novel architecture for load control and data management, with a central, adaptable, user interface. With a step change in the quality, function, automation, speed and cost of load control by training ML algorithms proven for artificial intelligence, developmental robotics and data processing, modularity removes the need for high centralised computing power, removingbarriers to rapid configuration of (sub)systems. DigiTech will radically reduce lead/modification times and initial/lifetime costs. Innovation to realise a fundamentally superior solution based on a new technical approach underpins a significant boost to RTC competitiveness and profitability, from increased productivity, revenues and profit margins.