Adaptive Failure Compensation for Performance-Critical Control Systems

ECS-0601475钢涛性能关键控制系统的自适应故障补偿这项研究的目标是开发新的自适应故障补偿技术，用于具有不确定故障的动态系统的控制，并应用于飞机、自主系统和带有MEM执行器的系统等性能关键系统。智能优点：这种方法是通过直接自适应控制器参数进行故障补偿，而不需要明确的故障检测和诊断，以实现对不确定系统故障的快速、可靠和鲁棒的补偿。自适应故障补偿的关键特征是它能够在不知道系统何时、多少和多少故障的情况下确保稳定性和渐近跟踪。将开发新的系统建模技术和自适应控制方法，以处理由故障引起的大系统变化，故障存在时的非线性和多变量动态不确定性，以及故障补偿所需的多个激励信号。一个新的和系统的理论框架将被开发用于自适应故障补偿，并为几个协同的性能关键系统应用提供解决方案。广泛的影响：这项研究将开发在存在系统参数、动态和故障不确定性的情况下设计具有保证稳定性和跟踪性能的控制系统的指导方针和技术。它将推动安全飞机、智能机器人系统、自适应空间结构、自主车辆和MEM技术等新兴应用所需的自适应控制理论和技术，对这些应用来说，系统故障的有效补偿对于提高可靠性、维修性和生存性至关重要。研究活动和成果将把自适应控制的新概念和新理论带入学生培训和知识传播，并在这一重要领域协助工业和政府研究人员。

ECS-0601475Gang TaoAdaptive Failure Compensation for Performance-Critical Control Systems The objective of this research is to develop new adaptive failure compensation technologies for control of dynamic systems with uncertain failures, with applications to Performance-critical systems such as aircraft, autonomous systems, and systems with MEM actuators. Intellectual merit: The approach is failure compensation by direct adaptation of controller parameters without explicit fault detection and diagnosis, for fast, reliable and robust compensation of uncertain system failures. The key feature of adaptive failure compensation is its ability to ensure both stability and asymptotic tracking without the knowledge of when, how much and how many failures in the system. New system modeling techniques and adaptive control methods will be developed to handle large system variations caused by failures, nonlinear and multivariable dynamics uncertainties in the presence of failures, and multiple actuating signals needed for failure compensation. A novel and systematic theoretical framework will be developed for adaptive failure compensation, with solutions for several synergic performance-critical system applications.Broader impacts: This research will develop guidelines and techniques for designing control systems with guaranteed stability and tracking performance in the presence of system parameter, dynamics and failure uncertainties. It will advance adaptive control theory and techniques, needed for emerging applications such as safe aircraft, intelligent robotic systems, adaptive space structures, autonomous vehicles, and MEM technology, for which effective compensation of system failures is crucial to improve reliability, maintainability and survivability. Research activities and results will bring new concepts and theory of adaptive control into student training and knowledge dissemination and assist industrial and government researchers in this important area.