Reference And Extended Command Governors for Constrained Control: Theory and Applications

用于约束控制的参考和扩展命令调速器：理论与应用

• 批准号: 1130160
• 负责人: Ilya Kolmanovsky
• 金额: $ 33.9万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1130160&HistoricalAwards=false
• 关键词: Reference; Extended; Command; Governors; Constrained

The objectives of this research are to advance Reference and Extended Command Governor control theory and algorithms for systems, such as downsized systems, that can presently fail to perform optimally due to lack of ability to handle stringent state and control constraints. The Governors are predictive control algorithms that augment high performance feedback loops and modify reference commands to protect the system from constraint violation. In this research, Reference and Extended Command Governor methods are developed for: (a) systems with fast and slow dynamics, (b) linear systems with nonlinear constraints, (c) systems with dynamics evolving on Lie groups, (d) systems with dynamic disturbance models, and (e) for the case when Governors are placed inside intentionally or unintentionally created feedback loops. The research progresses from developing the theory and algorithms, to treating high impact automotive and aerospace applications using simulations and experiments, to disseminating research results for academic and industrial audience, and to incorporating research results into courses to enhance student education. This research has a potential to benefit automotive and aerospace transportation, energy efficiency, environment, defense, and maintaining space infrastructure. Specifically, the advances made will: (a) enable higher levels of automotive engine downsizing and vehicle fuel economy improvements, (b) allow for a more aggressive use of aircraft gas turbine engines during emergency maneuvering which will increase aircraft safety, (c) extend the safe range and mission duration of very flexible aircraft (for a variety of commercial and military use), (d) enhance attitude control and safe rendezvous and proximity maneuvering capability for autonomous spacecraft, (e) improve energy management of automotive and aerospace hybrid powerplants with small energy storage. The research results disseminated through publications (including a monograph), and implemented in a Matlab toolbox, will support researchers, students and practitioners alike in their activities to develop and implement the Reference and Extended Command Governors.

本研究的目标是推进参考和扩展命令总督控制理论和算法的系统，如缩小系统，目前无法执行最佳由于缺乏能力，处理严格的状态和控制约束。 调节器是预测控制算法，其增强高性能反馈回路并修改参考命令以保护系统免受约束违反。 在这项研究中，参考和扩展命令调速器的方法开发：（a）系统的快速和缓慢的动态，（B）线性系统的非线性约束，（c）李群上的动态演化系统，（d）系统的动态扰动模型，（e）的情况下，当总督被放置在有意或无意创建的反馈回路。 研究进展从开发理论和算法，到使用模拟和实验处理高冲击汽车和航空航天应用，到为学术和工业观众传播研究成果，以及将研究成果纳入课程以加强学生教育。 这项研究有可能有利于汽车和航空航天运输，能源效率，环境，国防和维护空间基础设施。 具体而言，取得的进展将：（a）能够实现更高水平的汽车发动机小型化和车辆燃料经济性改进，（B）允许在紧急机动期间更积极地使用飞机燃气涡轮机发动机，这将提高飞机安全性，（c）延长非常灵活的飞机的安全航程和使命持续时间（用于各种商业和军事用途），（d）增强自主航天器的姿态控制和安全会合及近距离机动能力，（e）改进具有小型能量储存的汽车和航空航天混合动力装置的能量管理。 通过出版物（包括专著）传播的研究结果，并在Matlab工具箱中实施，将支持研究人员，学生和从业人员开展活动，以开发和实施参考和扩展命令总督。