Dynamic modeling and linear model predictive control of gas pipeline networks
| Autor: | Guang-Yan Zhu, Michael A. Henson, Lawrence Megan |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
Engineering
Mathematical optimization business.industry Pipeline (computing) Linear model Industrial and Manufacturing Engineering Computer Science Applications System dynamics Nonlinear system Model predictive control Dimension (vector space) Control and Systems Engineering Control theory Modeling and Simulation Decomposition (computer science) business |
| Zdroj: | Journal of Process Control. 11:129-148 |
| ISSN: | 0959-1524 |
| DOI: | 10.1016/s0959-1524(00)00044-5 |
| Popis: | A linear model predictive control (LMPC) strategy is developed for large-scale gas pipeline networks. A nonlinear dynamic model of a representative pipeline is derived from mass balances and the Virial equation of state. Because the full-order model is illconditioned, reduced-order models are constructed using time-scale decomposition arguments. The first reduced-order model is used to represent the plant in closed-loop simulations. The dimension of this model is reduced further to obtain the linear model used for LMPC design. The LMPC controller is formulated to regulate certain pipeline pressures by manipulating production setpoints of cryogenic air separation plants. Both input and output variables are subject to operational constraints. Three methods for handling output constraint infeasibilities are investigated. # 2001 Elsevier Science Ltd. All rights reserved. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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