CAREER: Integrated Design of Intelligent Structures with Tailored Distributed Damping

职业：具有定制分布式阻尼的智能结构集成设计

• 批准号: 1653118
• 负责人: James Allison
• 金额: $ 50万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-05-01 至 2023-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1653118&HistoricalAwards=false
• 关键词: CAREER; Integrated; Design; Intelligent; Structures

This Faculty Early Career Development (CAREER) Program research project aims to investigate a fundamentally new approach for designing intelligent structures for vibration and motion control, create new numerical design strategies, and to generate a foundational understanding for how best to design this new class of intelligent structures. Existing intelligent structures use integrated sensors and actuators, such as piezoelectric materials, distributed across the surface or interior of a flexible elastic material to control dynamic behavior. Here embedded viscoelastic materials (VEMs) are introduced to overcome current performance limitations. Incorporating VEMs is challenging because 1) engineers cannot rely on past experience to design this unprecedented system, and 2) accurate VEM models are computationally expensive. Here new integrated design optimization strategies will be used to accelerate generation of design knowledge for this new type of intelligent structure, and to reduce computational expense. Numerical and physical experiments will center on application to precision pointing for space-based telescopes. More precise pointing has the potential to enhance significantly scientific data gathering, including search for exoplanets. These advances also have potential to advance other domains where ultra-quiet structural stability or precision motion control is critical (e.g., manufacturing, robotics, and defense). Education and outreach components of this CAREER project involve the creation of unique hands-on activities that allow K-12 and undergraduate students to experience the value of design automation tools. These are enhanced by collaborations with the "Girls do Science" program at the Orpheum Children's Museum and a CubeSat project with NASA's Jet Propulsion Laboratory.Intelligent structures (IS) have been studied extensively, but primarily for active damping as opposed to motion control, and have largely avoided incorporation of spatially distributed VEMs for damping. Inclusion of VEMs and extension to motion control could help achieve new performance levels, but introduces a profound design challenge as no design history, validated design guidelines, or expert intuition exist. Current IS technology utilizes spatially distributed control actuation to tailor dynamic behavior. Recent work has combined control tailoring with distributed geometric elastic substructure design. A remaining obstacle is control of high-order structural modes in practical implementations, and is addressed here via strategically distributed VEMs to damp high-order modes passively. VEM distribution can be varied spatially to synergize with elastic material and control distribution. This enhances design flexibility, but this adds a new level of complexity. A new concept for integrated dynamic system design optimization where surrogate models of the state space derivative function are constructed and improved adaptively is planned. This capitalizes on the intrinsic properties of dynamic systems for numerical efficiency. VEMs can be modeled accurately, but with great computational expense, using high-order ordinary differential equation (ODE) approximations. The new derivative function surrogate modeling (DFSM) strategy is posited to produce high-accuracy VEM modeling using efficient low-order ODEs with state-dependent parameters. DFSM adjusts parameter mappings adaptively to improve accuracy, which supports efficient low-order computation. After thorough study of DFSM for damped IS design, DFSM will then be used for rapid design exploration and systematic generation of design data. Machine learning strategies will then be used to identify patterns and relationships within this data. An iterative inductive process will be used to identify possible design guidelines from these results, such as preferred distributed shape relationships or sensor/actuator/VEM placement guidelines. Additional numerical design studies will be used to validate/refine design guidelines.

该教师早期职业发展（CAREER）计划研究项目旨在研究设计振动和运动控制智能结构的全新方法，创建新的数字设计策略，并对如何最好地设计这类新的智能结构产生基本的理解。现有的智能结构使用集成的传感器和致动器，如压电材料，分布在柔性弹性材料的表面或内部，以控制动态行为。在这里，嵌入式粘弹性材料（VEM），以克服目前的性能限制。验证VEM具有挑战性，因为1）工程师无法依靠过去的经验来设计这种前所未有的系统，2）精确的VEM模型在计算上是昂贵的。本文将采用新的集成设计优化策略来加速这种新型智能结构的设计知识的生成，并减少计算开销。数值和物理实验将集中在天基望远镜精确指向的应用上。更精确的指向有可能大大加强科学数据的收集，包括对系外行星的搜索。这些进步也有可能推进超安静结构稳定性或精确运动控制至关重要的其他领域（例如，制造业、机器人和国防）。该CAREER项目的教育和推广部分涉及创建独特的实践活动，让K-12和本科生体验设计自动化工具的价值。这些都是通过与奥芬儿童博物馆的“女孩做科学”计划和与美国宇航局喷气推进实验室的立方体卫星项目的合作得到加强的。智能结构（IS）已经被广泛研究，但主要是主动阻尼，而不是运动控制，并在很大程度上避免了纳入空间分布的VEM阻尼。包含VEM和扩展到运动控制可以帮助实现新的性能水平，但引入了深刻的设计挑战，因为没有设计历史，验证设计指南或专家直觉存在。目前的IS技术利用空间分布的控制致动来定制动态行为。最近的工作结合控制裁剪与分布式几何弹性子结构设计。剩余的障碍是高阶结构模式的控制在实际的实施，并在这里通过战略分布式VEM被动阻尼高阶模式。VEM分布可以在空间上变化，以与弹性材料协同作用并控制分布。这增强了设计灵活性，但这增加了新的复杂性。提出了一种新的动态系统综合优化设计方法，即构造状态空间导函数的代理模型，并自适应地对其进行改进。这充分利用了动力系统的内在性质，以提高数值效率。使用高阶常微分方程（ODE）近似可以精确地对VEM建模，但计算费用很大。新的导数函数代理建模（DFSM）策略被假定为使用有效的低阶常微分方程与状态相关的参数产生高精度的VEM建模。DFSM自适应调整参数映射以提高精度，支持高效的低阶计算。在深入研究了阻尼IS设计的DFSM之后，DFSM将用于快速设计探索和设计数据的系统生成。然后，机器学习策略将用于识别这些数据中的模式和关系。迭代归纳过程将用于从这些结果中识别可能的设计准则，例如优选分布形状关系或传感器/致动器/VEM放置准则。将使用额外的数值设计研究来验证/完善设计指南。

项目成果

Strain-Actuated Solar Arrays for Spacecraft Attitude Control Assisted by Viscoelastic Damping

粘弹性阻尼辅助下用于航天器姿态控制的应变驱动太阳能电池阵列

• 发表时间: 2019
• 期刊: 13th World Congress of Structural and Multidisciplinary Optimization
• 作者: Yong Hoon Lee, Vedant

Impact of Including Electronics Design on Design of Intelligent Structures: Applications to Multifunctional Structures for Attitude Control (MSAC)

• DOI: 10.1115/smasis2020-2331
• 发表时间: 2020-09
• 期刊: ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
• 作者: Vedant;James T. Allison

Impact of Strain-Actuated Attitude Control Systems for Variant Mission Classes

• 发表时间: 2019
• 作者: A. Ghosh;O. Alvarez-Salazar;James T. Allison

Reliability-based Co-Design of State-Constrained Stochastic Dynamical Systems

状态约束随机动力系统基于可靠性的协同设计

• DOI: 10.2514/6.2020-0413
• 发表时间: 2020
• 期刊: American Institute of Aeronautics and Astronautics
• 作者: Cui, Tonghui;Allison, James T.;Wang, Pingfeng
• 通讯作者: Wang, Pingfeng

New Mission and Spacecraft Design Enabled Using MSAC

• DOI: 10.1109/aero55745.2023.10115834
• 发表时间: 2023-03
• 期刊: 2023 IEEE Aerospace Conference
• 作者: Vedant;Patrick Haddox;James T. Allison