Detection of stiction in flow control loops based on fuzzy clustering

被引：14
作者：
Daneshwar, M. A. [1 ]
Noh, Norlaili Mohd [1 ]
机构：
[1] Univ Sains Malaysia, Sch Elect & Elect Engn, Nibong Tebal 14300, Pulau Pinang, Malaysia
来源：
CONTROL ENGINEERING PRACTICE | 2015年 / 39卷
关键词：
Smart valves; Stiction; Fuzzy clustering; Detection; CONTROL VALVE STICTION; AUTOMATIC DETECTION; COMPENSATION;
D O I：
10.1016/j.conengprac.2015.02.002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the presence of stiction, the control valves may present an oscillatory behaviour that affects the regulatory control performance, thereby causing a loss of product quality and increasing energy consumption. Detection of stiction in the early phase is a crucial key for process control to avoid major disruptions to the plant operations. In this paper, a novel technique based on a well-developed fuzzy clustering approach is proposed. Based on a dramatic change of the slope of the lines obtained from successive cluster centres in the presence of stiction, a new performance index to distinguish the cause of oscillation is proposed. The simulation, experimental and industrial results are provided. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码：23 / 34
页数：12
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