Title :
Dead time and processes with stochastic disturbances
Author_Institution :
Dept. of Syst. Eng. & Autom., Higher Tech. Sch. of Ind. Eng., Valladolid
Abstract :
To control processes with unknown or variable dead time, it is important to estimate the dead time in real time. In the present work, adaptive control systems with reference models, where the estimation of the dead time in the batch processing model is considered, are studied. It is shown that the analysis of the output sensitivity variances with regard to the process dead time can allow a good estimation of this dead time. To estimate the dead time, it seems reasonable to start with a reference model corresponding to a high value of estimated dead time. This dead time estimation method was applied in a factory to a real process with significant stationary disturbances, and excellent results were obtained
Keywords :
control system analysis; model reference adaptive control systems; process control; sensitivity analysis; MRAC; adaptive control systems; control system analysis; dead time; factory; output sensitivity; process control; reference models; stochastic disturbances; Adaptive control; Analysis of variance; Control system synthesis; Control systems; Electrical equipment industry; Industrial control; Process control; Recursive estimation; Stochastic processes; Systems engineering and theory;
Conference_Titel :
Industrial Electronics Society, 1989. IECON '89., 15th Annual Conference of IEEE
Conference_Location :
Philadelphia, PA
DOI :
10.1109/IECON.1989.69675