Abstract
The majority of chemical processes are non-linear in nature. Increasingly, non-linear models are being used as key parts of chemical plant control schemes. A problem with any model is that it can become inaccurate over time and consequently for good control of time-varying processes some sort of model adaptation is required. In this paper a Fuzzy Relational Model (FRM) is incorporated into a multi-variable Fuzzy Internal Model Controller (FIMC). A mechanism for on-line adaptation of the model is described and implemented. Results are presented for a simulated MIMO system.
| Original language | English |
|---|---|
| Title of host publication | UKACC International Conference on Control '98. |
| Publisher | IEEE |
| Pages | 60-65 |
| Number of pages | 5 |
| Volume | 1 |
| ISBN (Print) | 0-85296-708-X |
| Publication status | Published - Sept 1998 |
Keywords
- FIMC
- FRM
- fuzzy relational model
- model adaptation
- multivariable fuzzy internal model controller
- nonlinear chemical processes
- nonlinear time-varying system control
- online adaptation
- simulated MIMO system