Robust model predictive control of a pilot plant distillation column
Abstract
In this paper, the development and application of a robust MPC to a pilot plant ethanol–water distillation column is described. It is shown through experimental tests in the pilot plant, how the linear model can change depending on the operating point. The obtained model has time delays and repeated poles. For this kind of system, the development of an MPC, based on the step response model that is robust to multi-model uncertainty, is presented. The experimental results that confirm the good performance of the proposed controller are also shown.
- Model Predictive Control in Industrial Processes
- Process Fault Detection and Diagnosis in Industries
- State-of-the-Art in Process Optimization under Uncertainty
- Control and Systems Engineering
- Engineering
- Physical Sciences
- Robust Control
- Model Predictive Control
- Internal model
- Operating point
- Pilot plant
- Distillation
- Fractionating column
- Control theory (sociology)
- Controller (irrigation)
- Linear model
- Robust control
- Control engineering
- Computer science
- Control system
- Control (management)
- Chemistry
- Chromatography
- Waste management
- Artificial intelligence
- Agronomy
- Biology
- Electrical engineering
- Machine learning
- Acesso Restrito
URI
https://openalex.org/W1971164603https://doi.org/10.1016/j.conengprac.2012.10.004
https://repositorio.maua.br/handle/MAUA/1799
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