Adaptive Failure Compensation for Performance-Critical Control Systems

性能关键型控制系统的自适应故障补偿本研究的目的是开发新的自适应故障补偿技术，用于控制具有不确定故障的动态系统，并应用于性能关键型系统，如飞机、自主系统和具有MEM执行器的系统。思想优点：该方法通过直接自适应控制器参数进行故障补偿，无需显式故障检测和诊断，对不确定系统故障进行快速、可靠和鲁棒补偿。自适应故障补偿的关键特征是它能够在不知道系统何时、有多少和多少故障的情况下确保稳定性和渐近跟踪。新的系统建模技术和自适应控制方法将被开发，以处理由故障引起的大系统变化，存在故障时的非线性和多变量动力学不确定性，以及故障补偿所需的多个驱动信号。将为自适应故障补偿开发一个新的系统理论框架，并为几个协同性能关键系统应用提供解决方案。更广泛的影响：本研究将开发指导方针和技术，用于在系统参数、动力学和故障不确定性存在的情况下，设计具有保证稳定性和跟踪性能的控制系统。它将推进安全飞机、智能机器人系统、自适应空间结构、自动驾驶汽车和MEM技术等新兴应用所需的自适应控制理论和技术，对这些应用而言，有效的系统故障补偿对于提高可靠性、可维护性和生存性至关重要。研究活动和成果将为学生培训和知识传播带来新的自适应控制概念和理论，并协助工业和政府在这一重要领域的研究人员。

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.