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

动态不确定系统的建模和识别：理论与实验

• 批准号: 9634498
• 负责人: Roy Smith
• 金额: $ 17.92万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-01 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9634498&HistoricalAwards=false
• 关键词: Modeling; Identification; Dynamically; Uncertain; Systems

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. ***

9634498史密斯这项工作的重点是开发用于建模和识别闭环控制配置中动态不确定系统的方法。 除了开发框架所需的理论工作外，这项工作还具有强大的实验组成部分。 这些实验是理论和算法工作的测试床，并加上了每个应用领域内反馈控制技术的发展。 半导体（GAAS/INP）生长的化学蒸气沉积系统用作闭环控制和建模测试台。 该实验提出的问题包括：不确定的流动动力学；处理非线性；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。 还研究了磁性轴承实验。 磁轴承在两端都悬浮了转子轴。 这是一个特别困难的识别和控制问题，相关问题包括：多输入，多输出，不稳定系统的闭环标识；转子轴中不确定的谐振模式；控制回路之间的转子旋转依赖性耦合。 第三个实验是一个辐射的热处理系统，由用于加热板的灯阵列组成。 这里涉及的问题是：无限尺寸系统的建模；灯之间的可变相互作用； 板特性（发射率，热系数）的显着不确定性。 项目的理论方面是基于强大的控制建模框架。 系统动力学中的不确定性是通过对标称模型的界定扰动来建模的。 模型验证领域的先前工作已经开发了可计算上的技术，用于评估充分描述实验观察所需的扰动的最小尺寸。 我们建议扩展方法开发方法，以实验扰动模型的模型参数。 ***