Title :
CONTROL-ID: an integrated framework for system identification and process control
Author :
Gaikwad, S.V. ; Rivera, D.E.
Author_Institution :
Comput.-Integrated Manuf. Syst. Res. Center, Arizona State Univ., Tempe, AZ, USA
Abstract :
CONTROL-ID is a computer aided control engineering (CACE) tool serving as a support environment for computer aided control system design (CACSD) in the chemical process industry. The fundamental basis for this tool is the theory of control-relevant system identification, which takes advantage of the interplay between identification and control design. CONTROL-ID is implemented using MATLAB on a VAXStation 4000 cluster, which is integrated in real-time to an industrial-scale Honeywell TDC 3000 plant information and control system. Control action is computed on the TDC 3000 system using low-order difference equations, which yield superior performance over traditional PID control while resembling the behavior of model predictive control systems. Results from a simulation study using a gas/oil furnace are reported
Keywords :
chemical industry; control system CAD; distributed control; identification; process computer control; process control; programming environments; real-time systems; CACE tool; CONTROL-ID; Honeywell TDC 3000; MATLAB; VAXStation 4000 cluster; chemical process industry; computer aided control engineering; computer aided control system design; difference equations; gas/oil furnace; plant information/control system; process control; system identification; Chemical industry; Chemical processes; Computer industry; Control design; Control engineering; Control engineering computing; Control systems; Electrical equipment industry; Industrial control; System identification;
Conference_Titel :
Computer-Aided Control System Design, 1994. Proceedings., IEEE/IFAC Joint Symposium on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-1800-5
DOI :
10.1109/CACSD.1994.288880
