Abstract
In this paper we provide a novel model-based control system for nonlinear process for the purpose of minimizing an objective function, followed by similar research areas such as dynamic optimization and model predictive control. Their target processes have large nonlinearity, multi manipulated variables and multi control variables. We then provide our control system scheme and an optimization algorithm. We also illustrate the results obtained from application of a depropanizer distillation column using a rigorous plant-wide dynamic simulator.
| Original language | English |
|---|---|
| Pages (from-to) | 627-631 |
| Number of pages | 5 |
| Journal | IFAC Proceedings Volumes (IFAC-PapersOnline) |
| Volume | 37 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 2004 Jan 1 |
| Event | 2004 IFAC Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2004 and IFAC Workshop on Periodic Control Systems, PSYCO 2004 - Yokohama, Japan Duration: 2004 Aug 30 → 2004 Sept 1 |
Keywords
- Computer simulation
- Computer-aided control systems design
- Distillation columns
- Dynamic models
- Model-based control
- Nonlinear models
- Process control
- Process simulators
ASJC Scopus subject areas
- Control and Systems Engineering