Although reactant addition induces unavoidable temperature changes in semi-batch reactors, it is shown that adaptive-predictive techniques may offer a means of balancing them successfully. To this end, appropriate data filtering must be integrated to the estimation algorithm, so that parameters rema
PID adaptive control of the temperature in batch and semi-batch chemical reactors
✍ Scribed by E. Miklovicova; M.A. Latifi; M. M'Saad; I. Hejda
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 346 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0009-2509
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper, a digital PID controller, derived in the partial state reference model (PSRM) adaptive control spirit, is used to control the temperature in batch and semi-batch chemical reactors.This controller consists in the combination of a performance-oriented linear quadratic control design method and a robust parameter estimator within the delta operator formulation. Such a formulation is particularly motivated by the convergence of the performances to their continuous time counterpart as well as its numerical robustness when the sampling is required to be fast. Experiments on batch and semi-batch reactors are carded out to emphasize the performances of the aforementioned controller with respect to those of an auto-calibrated PID controller.
📜 SIMILAR VOLUMES
In this article a highly exothermic batch polymerization reactor is considered. The reactor is simplified as a mixing tank with the internal heat generation treated as a disturbance. A fuzzy-hybrid-PID-feedback (FH-PID) control structure is developed in which the output of fuzzy hybrid portion is us
The problem of controlling the reactor to follow an optimal path calculated from the parameter estimates is considered. It is shown that the optimal path has an intrinsic stability which can be exploited in various ways to ensure near optimal control. When measurements of both composition and temper
## Abstract Chemical and biological fed‐batch stirred tank reactors (FSTRs) are often good candidates for the application of adaptive non‐linear control techniques because in many cases their dynamical models include highly uncertain kinetic parameters. A general unified methodology for the design