The Modeling and Identification of Dynamically Uncertain Systems: Theory and Experiment

小行星9634498 这项工作的重点是开发的方法，用于建模和识别的动态不确定系统的闭环控制配置。 这项工作有很强的实验成分，除了理论工作所需的开发框架。 这些实验作为理论和算法工作的试验平台，此外，还有助于每个应用领域内反馈控制技术的发展。 半导体（GaAs/InP）生长的化学气相沉积系统被用作闭环控制和建模试验台。 这个实验提出的问题包括：不确定的流动动力学;过程非线性;高度不确定的反应动力学;和基于模型的传感使用光学测量。 并进行了磁轴承实验研究。 转子轴在每一端通过磁轴承悬浮。 这是一个特别困难的识别和控制问题，相关的问题包括：闭环识别的多输入，多输出，不稳定的系统;不确定的共振模式在转子轴;和转子旋转控制回路之间的依赖耦合。 第三个实验是一个辐射热处理系统，包括一个阵列的灯加热板。 这里涉及的问题是：无限维系统的建模;灯之间的可变相互作用;以及板特性（发射率、热系数）的显著不确定性。 该项目的理论方面是基于鲁棒控制建模框架。 系统动态中的不确定性通过标称模型的有界扰动来建模。 在模型验证领域的先前工作已经开发了计算上易于处理的技术，用于评估充分描述实验观测所需的最小扰动大小。 我们建议扩展的方法来开发方法的扰动模型的模型参数的实验识别。 ***

9634498 Smith The focus of this work is the development of methodologies for the modeling and identification of dynamically uncertain systems in a closed-loop control configuration. The work has a strong experimental component, in addition to the theoretical work required to develop the framework. The experiments serve as testbeds for the theoretical and algorithmic work, and addition, contribute to the development of feedback control technology within each of their application areas. A chemical vapor deposition system for semiconductor (GaAs/InP) growth is used as a closed-loop control and modeling testbed. The issues raised by this experiment include: uncertain flow dynamics; process nonlinearities; highly uncertain reaction dynamics; and model based sensing using optical measurements. A magnetic bearing experiment is also studied. A rotor shaft is levitated at each end by magnetic bearings. This is a particularly difficult identification and control problem and the relevant issues include: closed-loop identification of a multiple-input, multiple-output, unstable system; uncertain resonant modes in the rotor shaft; and rotor rotation dependent coupling between control loops. The third experiment is a radiant thermal processing system, consisting of an array of lamps for the heating of a plate. The issues involved here are: modeling of an infinite dimensional system; variable interaction between lamps; and significant uncertainty in the plate characteristics (emissivity, thermal coefficients). The theoretical side of the project is based on a robust control modeling framework. Uncertainty in the system dynamics is modeled by bounded perturbations to a nominal model. Prior work in the area of model validation has developed computationally tractable techniques for assessing the minimum size of the perturbations required to adequately describe an experimental observation. We propose extending the approach to develop methodologies for the experimental identification of model parameters for perturbed models. ***