Title :
MIN-MAX principle for parameter optimization of papermaking process DMC control system
Author_Institution :
Coll. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´´an, China
Abstract :
According to basis weight and moisture content characteristics of nonlinearity, time-variance, coupling, time-delay, uncertainty and information inadequacy in papermaking process, a new predictive controller based on dynamic matrix control(DMC) algorithm is proposed to be employed in the basis weight and moisture content control system, which depends little upon process control model but with adaptive function and strong robustness, and the DMC parameters are optimized based on MIN-MAX principle which can achieve better performance indexes even with changes of real process model parameters and operating conditions. The method greatly improves the robustness of basis weight and moisture content control system.
Keywords :
adaptive control; control nonlinearities; delay systems; minimax techniques; moisture control; paper making; predictive control; process control; robust control; uncertain systems; MIN-MAX principle; adaptive function; basis weight; coupling; dynamic matrix control system; information inadequacy; moisture content control system; nonlinearity; paper-making process; parameter optimization; predictive controller; process control model; strong robustness; time-delay; time-variance; uncertainty; Control systems; Couplings; Heuristic algorithms; Moisture control; Nonlinear control systems; Nonlinear dynamical systems; Predictive models; Process control; Robust control; Uncertainty; Basis weight(BW); Dynamic matrix control(DMC); MIN-MAX principle; Moisture content(MC);
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5499049