Title :
Predictive Fuzzy Control for Grinding and Classification
Author_Institution :
Hubei Province Key Lab. of Intell. Robot, Wuhan Inst. of Technol., Wuhan, China
Abstract :
It is difficult to establish accurate and practical mathematic models for the process of grinding and classification due to their complicated mechanism and interrelated affecting factors. A new control algorithm is put forward to deal with the complex process in this paper by drawing the function of the prediction, feedback and emendation in DMC (Dynamic Matrix Control) based on Fuzzy Control system. Computer simulation tests of the classified control system for milling grinding indicate that predictive fuzzy control technique is better than fuzzy control to complex systems, especially having well adaptability in the slow time-varying and large time-lag systems.
Keywords :
adaptive control; delay systems; feedback; fuzzy control; grinding; large-scale systems; matrix algebra; milling; predictive control; time-varying systems; classification process; complex system; control adaptability; control algorithm; dynamic matrix control; feedback; grinding process; mathematic model; milling grinding; predictive fuzzy control; time-lag system; time-varying system; Fuzzy control; Heuristic algorithms; Mathematical model; Prediction algorithms; Predictive models; Process control; Robustness; DMC; Fuzzy Control; Predictive Control;
Conference_Titel :
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-1561-7
DOI :
10.1109/ICICIS.2011.96
