Name
Title | ||
|---|---|---|
Real-time feasibility of nonlinear model predictive control for semi-batch reactors subject to uncertainty and disturbances. |
Abstract | ||
|---|---|---|
This paper presents two nonlinear model predictive control based methods for solving closed-loop stochastic dynamic optimisation problems, ensuring both robustness and feasibility with respect to state output constraints. The first one is a new deterministic approach, using the wait-and-see strategy. The key idea is to specifically anticipate violation of output hard-constraints, which are strongly affected by instantaneous disturbances, by backing off of their bounds along the moving horizon. The second method is a stochastic approach to solve nonlinear chance-constrained dynamic optimisation problems under uncertainties. The key aspect is the explicit consideration of the stochastic properties of both exogenous and endogenous uncertainties in the problem formulation (here-and-now strategy). The approach considers a nonlinear relation between uncertain inputs and the constrained state outputs. The performance of the proposed methodologies is assessed via an application to a semi-batch reactor under safety constraints, involving strongly exothermic reactions. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compchemeng.2019.106529 | Computers & Chemical Engineering |
Keywords | Field | DocType |
NMPC,Output-constraints,Chance-constraints,Dynamic real time optimisation,Batch processes,Safety | Control theory,Computer science,Model predictive control,Nonlinear model | Journal |
Volume | ISSN | Citations |
133 | 0098-1354 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| H. Arellano-Garcia | 1 | 61 | 5.92 |
| Tilman Barz | 2 | 0 | 0.34 |
| Bogdan Dorneanu | 3 | 1 | 1.37 |
| Vassilios S. Vassiliadis | 4 | 188 | 22.38 |