Advanced control software framework for process control applications

被引：5
|
作者：
Hossain, Shazzat [1 ]
Hussain, M. A. [2 ]
Bin Omar, Rosli [3 ]
机构：
[1] Univ Malaya, Dept Comp Syst & Technol, UMPEDAC, Kuala Lumpur 50603, Malaysia
[2] Univ Malaya, Dept Chem Engn, UMPEDAC, Kuala Lumpur 50603, Malaysia
[3] Univ Malaya, Dept Elect Engn, Kuala Lumpur 50603, Malaysia
来源：
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2014年 / 7卷 / 01期
关键词：
Process control; software tool; Neural Network; Direct Inverse Control; pH Neutralization Process; IMPLEMENTATION;
D O I：
10.1080/18756891.2013.864473
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Industries are now moving towards PC-based control from PLC (Programmable Logic Control) based control as the PC (personal computer) is easily available and capable of implementing various control strategies to improve productivity. Advances in both hardware and software technology are expediting this move. Absence of a user friendly, cost effective and easy to apply advanced control strategy based software is the motivation for this work. In this paper we reviewed issues of software application in process control systems. We present the development of an advance process control software tool and its application on a pH neutralization plant. Neural network model based DIC (Direct Inverse Control) strategy is implemented to control the process. The application and results shows the viability and robustness of the advanced control software and its superiority over the conventional PID (proportional-integral-derivative) controller.
引用
收藏
页码：37 / 49
页数：13
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