New Controller Design Approaches for Complex, Nonlinear Dynamic Systems

适用于复杂非线性动态系统的新控制器设计方法

• 批准号: 1826086
• 负责人: Chunjiang Qian
• 金额: $ 21.9万
• 依托单位: University of Texas at San Antonio
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1826086&HistoricalAwards=false
• 关键词: New; Controller; Design; Approaches; Complex

This project will create new theories and approaches for ensuring stable behavior and desired performance of complex dynamic systems. Some examples of such systems include network of power plants, interconnected electric vehicles, or biological systems such as normal cell physiology and the alterations that lead to human disease. This project will develop new theories and methods that can help design control systems for such systems based on better understanding of the intrinsic relationships between inherent characteristics of the system and their dynamic behaviors. The theories, tools and approaches can be readily used to solve a wide range of real-world engineering problems, including predicting evolution of damage in bones, developing more energy efficient control algorithms for power generation systems to reduce hazardous emissions, or designing better coordination control for a network of electric vehicles. The traditional approaches to design of control systems for complex nonlinear systems involve simplified model (linearization) of the system which inherently limits the performance of these systems. If successful, the outcome of the work will be a big leap towards finding better control methods for nonlinear systems. The project also has significant broader impacts. Through a structured research activity this project will enhance minority students' education at the University of Texas at San Antonio, a Hispanic serving institution. The project will also promote international collaboration among U.S. students, faculty, and their peers in the global community. This project aims to develop sustained and systematic research to explore new theories and approaches for behavior analysis and controller design of inherently nonlinear dynamic systems. The new framework of multivariant homogeneity will be developed based on recent new concepts in defining homogeneity. The new generalized framework will be instrumental to characterize a boarder range of nonlinear dynamic systems. By establishing the homogeneous center manifold theory, the intrinsic link between the convergence rate of the system trajectory and the monotone homogeneity of the system will be discovered. The innovative design tools will lead to solutions to many open control problems for inherently nonlinear systems. The definitions, theories, and approaches in this project will add much-needed components to complete the theory of homogeneous systems, accelerate the research of control theory and dynamic systems, and facilitate new solutions to real-world engineering problems.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.

该项目将创建新的理论和方法，以确保复杂动态系统的稳定行为和所需性能。此类系统的一些示例包括发电厂网络、互连的电动汽车或生物系统，例如正常细胞生理学和导致人类疾病的改变。该项目将开发新的理论和方法，有助于在更好地理解系统固有特性与其动态行为之间的内在关系的基础上设计此类系统的控制系统。这些理论、工具和方法可轻松用于解决各种现实世界的工程问题，包括预测骨骼损伤的演变、为发电系统开发更节能的控制算法以减少有害排放，或设计更好的协调控制用于电动汽车网络。复杂非线性系统控制系统设计的传统方法涉及系统的简化模型（线性化），这本质上限制了这些系统的性能。如果成功，这项工作的成果将是寻找更好的非线性系统控制方法的一大飞跃。该项目还具有更广泛的影响。通过结构化的研究活动，该项目将加强德克萨斯大学圣安东尼奥分校（一所拉美裔服务机构）的少数族裔学生的教育。该项目还将促进美国学生、教师及其国际社会同行之间的国际合作。该项目旨在开展持续、系统的研究，探索固有非线性动态系统的行为分析和控制器设计的新理论和新方法。多变量同质性的新框架将基于最近定义同质性的新概念而开发。新的广义框架将有助于表征一系列非线性动态系统。通过建立齐次中心流形理论，将发现系统轨迹收敛速度与系统单调齐次性之间的内在联系。创新的设计工具将为固有非线性系统的许多开放控制问题提供解决方案。该项目中的定义、理论和方法将添加急需的组件来完善齐次系统理论，加速控制理论和动态系统的研究，并促进对现实世界工程问题的新解决方案。该奖项反映了 NSF 的法定使命，并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，被认为值得支持。

项目成果

Compensator-based current sensorless control for PWM-based DC-DC buck converter system with uncertain voltage measurement

基于补偿器的电流无传感器控制，适用于电压测量不确定的基于 PWM 的 DC-DC 降压转换器系统

• DOI: 10.1109/iecon49645.2022.9968306
• 发表时间: 2022-10-17
• 期刊: IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
• 作者: Shuaipeng He;Shiqi Nan;C. Qian
• 通讯作者: C. Qian

Finite-time integral control for a class of nonlinear planar systems with non-vanishing uncertainties

一类具有非零不确定性的非线性平面系统的有限时间积分控制

• DOI: 10.1016/j.automatica.2021.110016
• 发表时间: 2021-11-01
• 期刊: Autom.
• 作者: Shanmao Gu;C. Qian;Ni Zhang
• 通讯作者: Ni Zhang

Co‐design of memorized controllers for global sampled‐data stabilization a class of nonlinear system with input delay

用于全局采样数据稳定的记忆控制器的协同设计一类具有输入延迟的非线性系统

• DOI: 10.1049/cth2.12453
• 发表时间: 2023-03-25
• 期刊: IET Control Theory & Applications
• 作者: K. Cao;C. Qian;Shihua Li;Juping Gu
• 通讯作者: Juping Gu

Stability Analysis for Uncertain Chains of Integrators Driven by Nested Nonlinear Feedbacks

• DOI: 10.23919/acc.2019.8815124
• 发表时间: 2019-07-01
• 期刊: 2019 American Control Conference (ACC)
• 作者: Ji;ong Zhu;ong;C. Qian;Yunlei Zou
• 通讯作者: Yunlei Zou

Compensator-Based Output Feedback Stabilizers for a Class of Planar Systems With Unknown Structures and Measurements

用于结构和测量未知的一类平面系统的基于补偿器的输出反馈稳定器

• DOI: 10.1109/tac.2021.3079360
• 发表时间: 2022-04
• 期刊: IEEE Transactions on Automatic Control
• 影响因子: 6.8
• 作者: Qian, Chunjiang;He, Shuaipeng;Zou, Yunlei
• 通讯作者: Zou, Yunlei