Engineering Faculty Internship: Research in Parameter Identification

工程学院实习：参数识别研究

• 批准号: 9311923
• 负责人: Howard Kaufman
• 金额: $ 1.99万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-01 至 1995-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9311923&HistoricalAwards=false
• 关键词: Engineering; Faculty; Internship; Research; Parameter

9311923 Kaufman The goal of the proposed internship is to develop a systematic approach to identifying models of gas turbines from operating data records. There are data records. There are two primary reasons for carrying out system identification: 1. Developing better controllers 2. Refining the physical models To achieve the first objective, we will try to obtain simplified models that will capture enough details of the system dynamics to enable us to design robust controllers. The second objective feeds into a larger development project at GE which involves building better models for the gas turbine system . The results of the system identification task will help in refining the dynamic and steady state characteristics of the models, thereby improving our understanding of the physical process. ***

9311923考夫曼拟议实习的目标是开发一种系统的方法来识别运行数据记录中的燃气轮机模型。 有数据记录。 进行系统识别的主要原因有两个： 1. 开发更好的控制器 2. 完善物理模型 为了实现第一个目标，我们将尝试获得简化的模型，将捕捉足够的细节，系统动态，使我们能够设计鲁棒控制器。 第二个目标是为通用电气公司的一个更大的开发项目提供信息，该项目涉及为燃气涡轮机系统建立更好的模型。 系统识别任务的结果将有助于改进模型的动态和稳态特性，从而提高我们对物理过程的理解。 ***