An adaptive immune algorithm based gravimetric fluid dispensing machine

被引：0

作者：

Yap, David F. W. ^{[1
]}

Sim, Edwin Y. S. ^{[2
]}

Koh, S. P. ^{[3
]}

Tiong, S. K. ^{[3
]}

机构：

[1] Univ Tekn Malaysia Melaka UTeM, Fac Elect & Comp Engn, Melaka 76100, Malaysia

[2] Monash Univ Sunway Campus, Sch Engn, Bandar Sunway 46150, Selangor Darul, Malaysia

[3] Univ Tenaga Nasl UNITEN, Coll Engn, Kajang 43009, Selangor, Malaysia

来源：

JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES | 2012年 / 24卷 / 01期

关键词：

Artificial immune system; Volumetric-based fluid dispensing; Pulse width modulation; Gravimetric; Materials blending;

D O I：

10.1016/j.jksuci.2011.10.005

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A dispensing system is used in a materials-mixing plant to provide accurate blend ratios in producing the desired end-use product. The AIS-based (Artificial Immune Systems) fine tuning of dispensing parameters is proposed by optimizing the components of dispensing time and stopping time delay to obtain constant and accurate reading from the precision balance scale. Based on the new dispensing sequence, experimental tests had been carried out using different materials with varying viscosities. The results indicate that the combination of both PWM and AIS techniques would minimize overshoot while exhibiting lower steady-state error and faster response time. These are important in order to overcome the limitations of the conventional volumetric dispensing and manual parameter tuning presently applied in the dispensing system used in the coatings industry. (C) 2011 King Saud University. Production and hosting by Elsevier B.V. All rights reserved.

引用

页码：49 / 57

页数：9

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