Neuro-fuzzy control of a pH Plant
| Authors: | Fuente M.J., Dpto. Systems Engineering and Automatic Control. Science Faculty. Univeristy of Valladolid, Spain
Sainz G.I., Dpto. Systems Engineering and Automatic Control. ETSII. University of Valladolid, Spain
Alonso M., Dpto. Systems Engineering and Automatic Control. Science Faculty. Univeristy of Valladolid, Spain
Aguado A., Dpto. Automatic Control. ICIMAF, Cuba |
|---|
| Topic: | 6.1 Chemical Process Control |
|---|
| Session: | Process Control Applications |
|---|
| Keywords: | Fuzzy controller, neural networks, nonlinear process control, real pH plant, gain scheduling |
|---|
Abstract
This paper studies the control of a pH process by using a neuro fuzzy controller with gain scheduling. As the process to be controlled is highly non-linear the PI-type fuzzy controller that will be used generally is not able to control the system adequately. For this, a very simple feedforward neural network trained on-line, is put at the output of the PI-type fuzzy controller in order to calculate the gain of the controller. This neuro-fuzzy regulator has been tested in real-time on a bench plant. On-line results show that the designed control system allows the plant to operate in a range of pH values, despite perturbations and variations of the plant parameters, obtaining good performance at the desired workings points.
