CAREER: Set-Based Dynamic Modeling and Control for Trustworthy Energy Management Systems

职业：可信赖的能源管理系统的基于集的动态建模和控制

• 批准号: 2336007
• 负责人: Justin Koeln
• 金额: $ 58.95万
• 依托单位: University of Texas at Dallas
• 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: 2024-06-01 至 2029-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2336007&HistoricalAwards=false
• 关键词: CAREER; Set; Based; Dynamic; Modeling

This Faculty Early Career Development (CAREER) award supports research that enables safe operation of complex energy management systems through advances in modeling and control, thereby promoting the progress of science, advancing prosperity and welfare, and securing the national defense. New set-based dynamic modeling and control frameworks will be developed to account for the complex and uncertain behaviors of thermal management systems to make them trustworthy and reliable in safety-critical applications. To support the electrification of power systems, thermal management systems have become highly-integrated safety-critical elements of these complex energy systems. However, the lack of modeling and control techniques capable of safely maximizing the capability of thermal management systems makes them a bottleneck and liability within the overall system. This project will solve this challenge and achieve trustworthy thermal management systems operations via set-based techniques to capture uncertainty and bound worst-case behaviors, systematic allocation of risk to account for structured and unstructured sources of uncertainty, and verification of interpretable and analyzable closed-loop controllers under all possible system operations. The modeling, control, analysis, and verification techniques in this project are cross-cutting and applicable to other safety-critical dynamic systems with nonlinear and hybrid dynamics. Through close integration of research and education, this project will train multi-disciplined engineers in the intersection of thermal energy management, dynamic systems modeling, and advanced control to meet the increasingly critical workforce demand for thermal controls engineers. This will be achieved through hands-on project-based learning at the undergraduate and graduate levels and undergraduate research opportunities designed to provide multi-disciplinary engineering education and broaden participation of underrepresented groups.This research aims to make fundamental contributions to the design and analysis of scalable, high-performance, and provably safe controllers for complex energy management systems. It will achieve this goal by developing set-based modeling and control techniques for thermal management systems, which provide the potentially transformative paradigm needed to make these systems trustworthy. This research will create frameworks for set-based modeling and control with rigorous formulations and guarantees to achieve trustworthy thermal management systems operation, integrate systematic risk management in closed-loop decision making to balance performance and safety in highly uncertain operational environments, and extract interpretable and analyzable control laws from optimization-based control formulations for dependable real-time system operation. The novel hybrid zonotope set representation provides the enabling and unifying capability to represent and bound the hybrid and nonlinear dynamics associated with thermal management systems and the control laws designed to optimize their operation. This research will be evaluated through application to thermal management systems modeling and control for high-performance aircraft in a hardware-in-the-loop implementation.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（CAREER）奖支持通过建模和控制方面的进步实现复杂能源管理系统安全运行的研究，从而促进科学进步，促进繁荣和福利，并确保国防。将开发新的基于集合的动态建模和控制框架，以解决热管理系统复杂且不确定的行为，使其在安全关键应用中值得信赖和可靠。为了支持电力系统的电气化，热管理系统已成为这些复杂能源系统的高度集成的安全关键要素。然而，缺乏能够安全地最大化热管理系统能力的建模和控制技术，使其成为整个系统的瓶颈和责任。该项目将解决这一挑战，并通过基于集合的技术来捕获不确定性并限制最坏情况行为，系统地分配风险以解决结构化和非结构化的不确定性来源，并在所有可能的系统操作下验证可解释和可分析的闭环控制器，从而实现值得信赖的热管理系统操作。该项目中的建模、控制、分析和验证技术是交叉的，适用于其他具有非线性和混合动力学的安全关键动态系统。通过研究和教育的紧密结合，该项目将培训热能管理、动态系统建模和高级控制等领域的多学科工程师，以满足对热控制工程师日益重要的劳动力需求。这将通过本科生和研究生阶段基于项目的实践学习以及本科生研究机会来实现，这些机会旨在提供多学科工程教育并扩大代表性不足群体的参与。这项研究旨在为复杂能源管理系统的可扩展、高性能和可证明安全的控制器的设计和分析做出根本性贡献。它将通过开发用于热管理系统的基于集合的建模和控制技术来实现这一目标，这些技术提供了使这些系统值得信赖所需的潜在变革范式。这项研究将创建基于集合的建模和控制框架，具有严格的公式和保证，以实现可靠的热管理系统运行，将系统风险管理集成到闭环决策中，以在高度不确定的运行环境中平衡性能和安全性，并从基于优化的控制公式中提取可解释和可分析的控制规律，以实现可靠的实时系统运行。新颖的混合区域集表示提供了启用和统一的能力来表示和限制与热管理系统相关的混合和非线性动态以及旨在优化其操作的控制律。这项研究将通过在硬件在环实施中应用于高性能飞机的热管理系统建模和控制来进行评估。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。