论文标题
气体加工设施中管道流量的控制模型
Control-Oriented Modeling of Pipe Flow in Gas Processing Facilities
论文作者
论文摘要
开发了管道流量模型，重点是在过程控制级别上最终用于反馈控制设计，而不是单位水平在气体处理设施中。因此，生成线性化的设施规模模型，以根据流体动力学和热力学的非线性部分微分方程以及与其互连相关的约束来描述压力，质量流和温度。作为治疗的一部分，评估了这些简化模型与物理学的差异，因为对这些错误的鲁棒性将是最终控制系统的目标。该方法从对管流模型的彻底分析开始，然后继续研究其自动互连到网络模型中，该网络模型汇总了债券图或标准流体建模的代数约束。这些模型通过将其转介给商业气体压缩机测试设施的操作数据来验证，并量化其错误。对于线性时间不变的模型，显示生成网络模型的互连方法与Mason的增益{公式}的自动化相吻合。这些基于工程数据的管道网络模型是通用设施过程控制工具开发的第一部分。
Pipe flow models are developed with a focus on their eventual use for feedback control design at the process control level, as opposed to the unit level, in gas processing facilities. Accordingly, linearized facility-scale models are generated to describe pressures, mass flows and temperatures based on sets of nonlinear partial differential equations from fluid dynamics and thermodynamics together with constraints associated with their interconnection. As part of the treatment, the divergence of these simplified models from physics is assessed, since robustness to these errors will be an objective for the eventual control system. The approach commences with a thorough analysis of pipe flow models and then proceeds to study their automated interconnection into network models, which subsume the algebraic constraints of bond graph or standard fluid modeling. The models are validated and their errors quantified by referring them to operational data from a commercial gas compressor test facility. For linear time-invariant models, the interconnection method to generate network models is shown to coincide with automation of Mason's Gain {Formula}. These pipe network models based on engineering data are the first part of the development of general facility process control tools.
