U-Model based Adaptive Control of Gas Process Plant

被引:8
作者
Hasan, E. [1 ]
Bin Ibrahim, Rosdiazli [1 ]
Ali, Syed Saad Azhar [1 ]
Bingi, Kishore [1 ]
Gilani, Syed Faizan [1 ]
机构
[1] Univ Teknol PETRONAS, Dept Elect & Elect Engn, Seri Iskandar 32610, Perak Darul Rid, Malaysia
来源
2016 IEEE INTERNATIONAL SYMPOSIUM ON ROBOTICS AND INTELLIGENT SENSORS (IRIS 2016) | 2017年 / 105卷
关键词
Adaptive; Gas Process Plant; Industrial Process Control; Newton-Raphson Controller; System Identification; U-Model;
D O I
10.1016/j.procs.2017.01.186
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Industrial process control holds great importance while dealing with nonlinear control. System modeling and controller design is considered to be a critical challenge for researchers as well as plant operators. Resultantly, significant amount of research work has been prompted in the area of Adaptive Control. Their biggest advantage is that unknown system parameters are tuned online and adjusted adaptively. In this research work, an adaptive controller, based upon a recently developed U-Model is suggested. U-Model is a simplified polynomial structure that adaptively adjusts system parameters online. Being less complex in structure, design and development of U-Model based controller is simple. Previously, it has performed well in different applications regarding system identification and controller design. This motivates us to undertake a Gas Process Plant for our research work using U-Model. The proposed control strategy is verified by a simulation. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:119 / 124
页数:6
相关论文
共 20 条
[11]   Utilizing Higher-Order Neural Networks in U-model Based Controllers for Stable Nonlinear Plants [J].
Shafiq, Muhammed ;
Butt, Naveed R. .
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2011, 9 (03) :489-496
[12]  
Tokat S, 2015, STUD SYST DECIS CONT, V24, P417, DOI 10.1007/978-3-319-18290-2_20
[13]  
Wang P, 2014, 2014 PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION & CONTROL (ICMIC), P172, DOI 10.1109/ICMIC.2014.7020747
[14]   Block-Based MAP Superresolution Using Feature-Driven Prior Model [J].
Xu, Feng ;
Fan, Tanghuai ;
Huang, Chenrong ;
Wang, Xin ;
Xu, Lizhong .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
[15]  
Xu FX, 2014, CHIN CONTR CONF, P1905, DOI 10.1109/ChiCC.2014.6896920
[16]  
Zahedi F., 2018, J ELECT ELECT ENG, DOI [10.11648/j.jeee.s.2015030201.23, DOI 10.11648/J.JEEE.S.2015030201.23]
[17]  
Zhao L, 2014, 2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), P311, DOI 10.1109/ICInfA.2014.6932673
[18]  
Zhu QM, 2006, WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, P1026
[19]   A pole placement controller for non-linear dynamic plants [J].
Zhu, QM ;
Guo, LZ .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2002, 216 (I6) :467-476
[20]  
Zhu QM, 2014, CHIN CONTR CONF, P1839, DOI 10.1109/ChiCC.2014.6896909