Title :
On-line multivariable identification and control of chemical processes using canonical variate analysis
Author :
Kemna, Andreas H. ; Larimore, Wallace E. ; Seborg, Dale E. ; Mellichamp, Duncan A.
Author_Institution :
Weyerhaeuser Co., Tacoma, WA, USA
fDate :
29 June-1 July 1994
Abstract :
In this paper an online identification and control strategy is developed for chemical processes. The procedure used for system identification is canonical variate analysis, a method that operates on input-output data sequences batch-wise to provide an optimized state-space model; the resulting models are then used in a multivariable predictive control procedure to yield excellent overall closed-loop results. The resulting adaptive control procedure is demonstrated to have excellent properties for control of a continuous stirred tank reactor with inverse dynamics, delays and nonlinearities.
Keywords :
adaptive control; chemical industry; closed loop systems; identification; multivariable control systems; predictive control; process control; real-time systems; state-space methods; adaptive control; canonical variate analysis; chemical process control; closed-loop system; continuous stirred tank reactor; delays; input-output data sequences; inverse dynamics; multivariable predictive control; nonlinearities; online multivariable identification; state-space model; system identification; Adaptive control; Chemical analysis; Chemical processes; Continuous-stirred tank reactor; Control nonlinearities; Optimization methods; Predictive control; Predictive models; Process control; System identification;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.752351
