Adaptive Failure Compensation for Performance-Critical Control Systems

ECS-0601475陶刚性能关键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，并应用于性能关键系统，如飞机，自治系统和具有MEM致动器的系统。智力优点：该方法是故障补偿的控制器参数的直接适应没有显式的故障检测和诊断，快速，可靠和鲁棒的不确定系统故障补偿。自适应故障补偿的关键特征是它能够确保稳定性和渐近跟踪，而不需要知道系统中何时、有多少和多少故障。将开发新的系统建模技术和自适应控制方法，以处理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致动信号。一个新的和系统的理论框架将开发自适应故障补偿，与解决方案的几个协同性能关键的系统application.Broader影响：这项研究将开发的指导方针和技术，用于设计控制系统，保证稳定性和跟踪性能的存在下，系统参数，动态和故障的不确定性。它将推进自适应控制理论和技术，需要新兴的应用，如安全的飞机，智能机器人系统，自适应空间结构，自动驾驶汽车和MEM技术，其中系统故障的有效补偿是至关重要的，以提高可靠性，可维护性和生存能力。研究活动和成果将为学生培训和知识传播带来自适应控制的新概念和理论，并在这一重要领域为工业和政府研究人员提供帮助。

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.