Title :
On-line identification and nonlinear control of an industrial pH process
Author :
Wright, Raymond A. ; Kravaris, Costas
Author_Institution :
Dow Chem. Co., Midland, MI, USA
Abstract :
The control of pH for industrial processes is frequently a highly nonlinear challenging problem, where the nonlinearity can be unknown and time-varying. In this work, control of an industrial pH process with unknown chemical composition is attempted. The method used is based on a representation of the nonlinearity that leads to online identification of a small number of parameters. The results show satisfactory performance of the pH control algorithm
Keywords :
identification; nonlinear control systems; pH control; process control; time-varying systems; uncertain systems; industrial pH process; nonlinear control; online identification; pH control; parameter identification; unknown chemical composition; Attenuation; Books; Chemical industry; Chemical processes; Electrical equipment industry; Fluid flow measurement; Industrial control; Process control; Proportional control; Slurries;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.532330
