An Optimal Feedback Control Strategy for Nonlinear, Distributed-Parameter Processes
| Autor: | Debaprasad Dutta, Simant R. Upreti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
real-time application
0209 industrial biotechnology Time delays Computer science Process Chemistry and Technology Computation Feedback control Perturbation (astronomy) Bioengineering 02 engineering and technology Optimal control lcsh:Chemical technology Upset lcsh:Chemistry Nonlinear system optimal control 020901 industrial engineering & automation 020401 chemical engineering lcsh:QD1-999 Control theory Chemical Engineering (miscellaneous) lcsh:TP1-1185 heavy oil recovery 0204 chemical engineering state feedback |
| Zdroj: | Processes Volume 7 Issue 10 Processes, Vol 7, Iss 10, p 758 (2019) |
| ISSN: | 2227-9717 |
| DOI: | 10.3390/pr7100758 |
| Popis: | In this work, an optimal state feedback control strategy is proposed for non-linear, distributed-parameter processes. For different values of a given parameter susceptible to upsets, the strategy involves off-line computation of a repository of optimal open-loop states and gains needed for the feedback adjustment of control. A gain is determined by minimizing the perturbation of the objective functional about the new optimal state and control corresponding to a process upset. When an upset is encountered in a running process, the repository is utilized to obtain the control adjustment required to steer the process to the new optimal state. The strategy is successfully applied to a highly non-linear, gas-based heavy oil recovery process controlled by the gas temperature with the state depending non-linearly on time and two spatial directions inside a moving boundary, and subject to pressure upsets. The results demonstrate that when the process has a pressure upset, the proposed strategy is able to determine control adjustments with negligible time delays and to navigate the process to the new optimal state. |
| Databáze: | OpenAIRE |
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