Title :
Research for Control Strategy in Glass Ingredient Control System
Author :
Yu, Fashan ; He, Hui ; Zong, Mingjie
Author_Institution :
Sch. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo, China
Abstract :
This paper ,mainly give a introduce to control strategy in ingredient control system, because of weighing process of raw materials is a nonlinear, time-varying and uncertain production process that is unable to get accurate mathematical model, therefore, the fuzzy control algorithm is used in weighing system .With "intelligent learning control model" applied to the system, it realized the online self-studying learn and self-adjusting in weighing control, automatically adjust feeder\´s speed and advanced argument of stopping-feeding. In a word, with the new control ideas, the glass ingredients designed by us has been greatly improved in speed control and weighing precision.
Keywords :
glass industry; intelligent control; learning systems; nonlinear control systems; process control; raw materials; self-adjusting systems; time-varying systems; uncertain systems; velocity control; control strategy; fuzzy control algorithm; glass ingredient control system; intelligent learning control model; mathematical model; nonlinear production process; raw material weighing process; speed control; time-varying production process; uncertain production process; weighing precision; weighing system; Belts; Control systems; Glass; Magnetic heads; Mixers; Process control;
Conference_Titel :
Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0855-8
DOI :
10.1109/PACCS.2011.5990189
