Research for Control System in Ingredient Industry


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This paper , taken production process in typical production department of glass, cement, chemical industry for example, analyzes their dosing process and technical characteristics , and summarizes that the work of the basic ingredients link in various production departments is in common and other links is arranged according to production requirement combined with the different ways of transporting and feeding materials. The order of production is different, so the number of ingredients link and the complexity of working order are not the same. With "intelligent learning control model" applied to the system, it realized the online self-studying learn and self-adjusting in weighing control, which can on-line judge the speed and precision of weighting, automatically adjust feeder’s speed and advanced argument of stopping-feeding. In a word, in design of control strategy and control software, various characteristics of the ingredients system are taken into full consideration, which choose corresponding weighing method and the control strategy according to the difference of accuracy requirement.



Advanced Materials Research (Volumes 230-232)

Edited by:

Ran Chen and Wenli Yao






F. S. Yu et al., "Research for Control System in Ingredient Industry", Advanced Materials Research, Vols. 230-232, pp. 610-615, 2011

Online since:

May 2011




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