Optimal Laypunov exponent parameters for stability analysis of batch reactors with Model Predictive Control
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Publication Date
2018Journal Title
Computers and Chemical Engineering
ISSN
0098-1354
Publisher
Elsevier BV
Volume
119
Pages
270-292
Type
Article
Metadata
Show full item recordCitation
Kähm, W., & Vassiliadis, V. (2018). Optimal Laypunov exponent parameters for stability analysis of batch reactors with Model Predictive Control. Computers and Chemical Engineering, 119 270-292. https://doi.org/10.1016/j.compchemeng.2018.08.038
Abstract
Thermal runaways in exothermic batch reactions are a major economic, health and safety risk in industry. In literature most stability criteria for such behaviour are not reliable for nonlinear non-steady state systems. In this work, Lyapunov exponents are shown to predict the instability of highly nonlinear batch processes reliably and are hence incorporated in
standard MPC schemes, leading to the intensification of such processes. The computational time is of major importance for systems controlled by MPC. The optimal tuning of the initial perturbation and the time frame reduces the computational time when embedded in MPC schemes for the control of complex batch reactions. The optimal tuning of the initial perturbation and time horizon, defining Lyapunov exponents, has not been carried out in literature so far and is here derived through sensitivity analyses. The computational time required for this control scheme is analysed for the intensification of complex reaction schemes.
Sponsorship
EPSRC (1776365)
Engineering and Physical Sciences Research Council (EP/M508007/1)
Identifiers
External DOI: https://doi.org/10.1016/j.compchemeng.2018.08.038
This record's URL: https://www.repository.cam.ac.uk/handle/1810/285146
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