Tuning guidelines for model-predictive control
This paper reviews available tuning guidelines for model-predictive control (MPC) from
theoretical and practical perspectives. Its primary focus is on the guidelines introduced since …
theoretical and practical perspectives. Its primary focus is on the guidelines introduced since …
Optimal tuning of model predictive controller weights using genetic algorithm with interactive decision tree for industrial cement kiln process
V Ramasamy, RK Sidharthan, R Kannan… - Processes, 2019 - mdpi.com
Featured Application The proposed MPC tuning procedure can be used for any industrial
process demanding optimal operation with reduced energy utilization. Automated tuning …
process demanding optimal operation with reduced energy utilization. Automated tuning …
Proportional-integral control and model predictive control of extractive dividing-wall column based on temperature differences
Extractive dividing-wall column (EDWC) was proved to be a promising energy-saving
technique for the separation of multiple azeotropes or close-boiling mixtures; however, its …
technique for the separation of multiple azeotropes or close-boiling mixtures; however, its …
Composition/temperature cascade control for a Kaibel dividing-wall distillation column by combining PI controllers and model predictive control integrated with soft …
Kaibel dividing-wall distillation column (KDWDC) is a very effective distillation process
intensification technology. However, the misgivings of controllability problems impede its …
intensification technology. However, the misgivings of controllability problems impede its …
Constrained computationally efficient nonlinear predictive control of Solid Oxide Fuel Cell: Tuning, feasibility and performance
M Ławryńczuk - ISA transactions, 2020 - Elsevier
Abstract Control of Solid Oxide Fuel Cells (SOFCs) is a challenging task since they are
nonlinear dynamic systems and it is essential to precisely satisfy the existing technological …
nonlinear dynamic systems and it is essential to precisely satisfy the existing technological …
Model predictive control of reactive dividing wall column for the selective hydrogenation and separation of a C3 stream in an ethylene plant
The dividing wall column (DWC) is a promising process intensification technology of
distillation. Researchers have been investigating different control structures of different DWC …
distillation. Researchers have been investigating different control structures of different DWC …
[PDF][PDF] Dynamic simulation of a crude oil distillation plant using Aspen-Hysys®
D Sotelo, A Favela-Contreras, C Lozoya… - Int. J. Simul …, 2019 - ijsimm.com
Petroleum subproducts are obtained in a crude oil distillation plant. Here, due to the
chemical properties of the crude oil, a series of complex reactions occurs, and …
chemical properties of the crude oil, a series of complex reactions occurs, and …
Optimization of distribution control system in oil refinery by applying hybrid machine learning techniques
In this research, prediction of crude oil cuts from the first stage of refining process field is laid
out using rough set theory (RST) based adaptive neuro-fuzzy inference system (ANFIS) soft …
out using rough set theory (RST) based adaptive neuro-fuzzy inference system (ANFIS) soft …
Tuning strategy for dynamic matrix control with reduced horizons
Abstract In Dynamic Matrix Control (DMC) algorithm, the control signal is computed optimally
based on the process model. In effect, the DMC algorithm allows for obtaining a better …
based on the process model. In effect, the DMC algorithm allows for obtaining a better …
Multiobjective tuning technique for MPC in grinding circuits
We investigate the control challenges in grinding circuits—slow dynamics, long dead times,
variable coupling—and the controller tuning challenge, that is, the difficulty in translating …
variable coupling—and the controller tuning challenge, that is, the difficulty in translating …