Title :
A nonlinear PI controller based on a low-order empirical process model
Author :
Brendel, Robert J. ; Ogunnaike, Babatunde A. ; Dhurjati, Prasad S.
Author_Institution :
Dept. of Chem. Eng., Delaware Univ., Newark, DE, USA
Abstract :
A nonlinear PI controller is developed from a low-order nonlinear empirical process model. Implementation issues such as model parameter identification and open-loop stability are discussed. The procedure for constructing effective controllers (including a simple model identification procedure) is illustrated with an example process of industrial significance
Keywords :
chemical technology; nonlinear control systems; parameter estimation; process control; stability; two-term control; low-order empirical process model; model parameter identification; nonlinear PI controller; open-loop stability; Adaptive control; Equations; Frequency; Parameter estimation; Signal generators; Signal processing; Stability; Steady-state; Taylor series; Vectors;
Conference_Titel :
Computer-Aided Control System Design, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-3032-3
DOI :
10.1109/CACSD.1996.555303
