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About Optimal Control of CSTR: Kalpesh Pathak, Anil Markana and Nishant Parikh
This document summarizes research on using nonlinear model predictive control (MPC) to control the temperature of a continuous stirred tank reactor (CSTR). The researchers developed a second-order mathematical model of a CSTR and used it for dynamic simulations. They applied nonlinear MPC and estimated states using an extended Kalman filter. Satisfactory tracking performance showed that MPC achieved better optimal temperature control inside the CSTR than conventional control strategies. The MPC strategy compensated for operating point changes and nonlinearities in the exothermic chemical reaction taking place in the CSTR.
Detailed Information
| Author: | ['Gilbert Gospel'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 4 |
| Language: | English |
| Format: | |
| Price: | FREE |
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