CAREER: Physics-Infused Reduced-Order Modeling for Control Co-Design of Morphing Aerial Autonomous Systems

职业：用于变形空中自主系统控制协同设计的物理降阶建模

• 批准号: 2340266
• 负责人: Daning Huang
• 金额: $ 62.6万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-01 至 2029-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2340266&HistoricalAwards=false
• 关键词: CAREER; Physics; Infused; Reduced; Order

This Faculty Early Career Development Program (CAREER) award supports research that enables the dynamic modeling, control, and design for next-generation autonomous systems with enhanced capabilities and operational efficiency, thereby promoting the progress of science, advancing prosperity and welfare, and securing the national defense. Morphing autonomous aerial systems, changing physical configurations in-flight, deliver increased maneuverability, energy efficiency, durability, and task versatility compared to their non-morphing counterparts. A control co-design approach that simultaneously considers the autonomous functionalities and vehicle design will be undertaken. However, incorporating high-fidelity models, required by modeling, design and operation of morphing vehicles, brings computational intractability challenges due to the high-dimensional design space. This project seeks to bridge the gap between creating sophisticated models and maintaining computational practicality, paving the way for more efficient design processes. This research will establish a foundational framework that could revolutionize the entire lifecycle of autonomous systems, from production to operation, including the ability to learn and adapt over time. Beyond technological advancements, the project is dedicated to fostering a strong workforce in engineering through comprehensive training and research opportunities provided by integrated teaching-learning-research activities and integrative praxis experience via senior capstone projects. Furthermore, by digitizing and sharing educational resources widely, this initiative also aims to enrich engineering education across various institutions nationwide. This project aims to prompt a paradigm shift in the control co-design of future autonomous systems via innovative modeling and optimization techniques that systematically integrate high-fidelity, real-time models. First, this research will contribute a reduced-order modeling method with a novel physics-data infusion formalism that couples dynamical systems consisting of both physics-based and data-driven components to support infinite dimensional parameters while maintaining computational tractability and high model fidelity. Second, this research will resolve the modeling dilemma in the application of a morphing vehicle involving coupled dynamics of fluids, structures, flight, and morphing, at an unprecedented model fidelity while maintaining a computational speed suitable for real-time control on hardware. Third, the algorithms will address the control co-design problem, as a highly nonlinear, high-dimensional, non-convex, multi-objective optimization, and the systematic case study shall generate new knowledge in the principles and guidelines of control co-design.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该学院早期职业发展计划（CAREER）奖支持研究，使下一代自主系统的动态建模，控制和设计具有增强的能力和运营效率，从而促进科学进步，促进繁荣和福利，并确保国防。变形的自主航空系统，改变飞行中的物理配置，提供更高的机动性，能源效率，耐用性和任务的多功能性相比，他们的非变形同行。将采取控制协同设计方法，同时考虑自主功能和车辆设计。然而，将高保真模型，所需的建模，设计和操作的变形车辆，带来了计算困难的挑战，由于高维的设计空间。该项目旨在弥合创建复杂模型和保持计算实用性之间的差距，为更有效的设计过程铺平道路。这项研究将建立一个基础框架，可以彻底改变自主系统从生产到运营的整个生命周期，包括随着时间的推移学习和适应的能力。除了技术进步之外，该项目还致力于通过综合教学研究活动提供的全面培训和研究机会，以及通过高级顶点项目提供的综合实践经验，培养一支强大的工程队伍。此外，通过数字化和广泛共享教育资源，该倡议还旨在丰富全国各机构的工程教育。 该项目旨在通过系统地集成高保真实时模型的创新建模和优化技术，促进未来自主系统控制协同设计的范式转变。首先，这项研究将有助于降阶建模方法与一种新的物理数据注入形式主义，耦合动力系统，包括基于物理和数据驱动的组件，以支持无限维参数，同时保持计算的易处理性和高模型保真度。其次，本研究将解决变形车辆的应用中的建模困境，涉及流体，结构，飞行和变形的耦合动力学，在一个前所未有的模型保真度，同时保持一个计算速度适合于硬件上的实时控制。第三，该算法将解决控制协同设计问题，作为一个高度非线性，高维，非凸，多目标优化，系统的案例研究将产生控制协同设计的原则和指导方针的新知识。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。