𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A cautious self-tuning controller for chemical processes

✍ Scribed by A. V. Papadoulis; C. A. Tsiligiannis; S. A. Svoronos

Publisher
American Institute of Chemical Engineers
Year
1987
Tongue
English
Weight
639 KB
Volume
33
Category
Article
ISSN
0001-1541

No coin nor oath required. For personal study only.

✦ Synopsis

An adaptive controller is presented that is able to perform effectively in the presence of nonlinearities and of model uncertainty typical of industrial processes. The controller incorporates a minimum variance part and a caution part. The latter is independent of the estimated model and becomes dominant in the case of a large mismatch between plant and estimated model. Application to a simulated nonlinear continuous stirred-tank reactor demonstrates its effectiveness, even when other adaptive controllers give unsatisfactory performance.

πŸ“œ SIMILAR VOLUMES

A MIMO cautious self-tuning controller
A MIMO cautious self-tuning controller
✍ Apostolos V. Papadoulis; Spyros A. Svoronos πŸ“‚ Article πŸ“… 1989 πŸ› American Institute of Chemical Engineers 🌐 English βš– 592 KB
A retrospective self-tuning controller
A retrospective self-tuning controller
✍ S. G. Goodhart; K. J. Burnham; D. J. G. James πŸ“‚ Article πŸ“… 1991 πŸ› John Wiley and Sons 🌐 English βš– 554 KB
Generic model controller tuning for chem
Generic model controller tuning for chemical processes with input saturation
✍ Bingjun Guo; Xiangming Hua; Arthur Jutan πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 468 KB

## Abstract Control in the face of process input constraints is very common and of great practical importance in the processing industries. Generic Model Control (GMC) is a model‐based control framework for both linear and nonlinear systems. In this paper, a constrained GMC controller tuning approa