Paper Info
Title
Setpoints compensation for nonlinear industrial processes with disturbances based on fuzzy logic control
Abstract
This paper focuses on the performance tracking issue of complex industrial processes in double layer architecture. First, the nonlinear plants in the device layer are modeled by using Takagi-Sugeno (T-S) fuzzy technique, and are controlled by local proportional integral (PI) controller with the H∞ performance guaranteed. Then, the outputs and inputs of local plants are sampled and transited to the operation layer to form the economic performance index (EPI), which is used to represent the performance of the tracking of economic objective. Furthermore, the setpoints, which are dynamically changing, are calculated via a compensator based on the error between the objective and the EPI at each step of the operation layer. Finally, the effectiveness of the proposed method is demonstrated by a nonlinear continuous stirred tank reactor (CSTR) model.
Year
DOI
Venue
2014
10.1109/IECON.2014.7048874
IECON
Keywords
Field
DocType
pi control,compensation,fuzzy control,manufacturing processes,nonlinear control systems,cstr model,epi,pi controller,t-s fuzzy technique,takagi-sugeno fuzzy technique,double layer architecture,economic objective,economic performance index,fuzzy logic control,nonlinear continuous stirred tank reactor model,nonlinear industrial process,nonlinear plants,performance tracking,proportional integral controller,setpoint compensation,symmetric matrices,process control,economics,fuzzy logic,optimization
Continuous stirred-tank reactor,Control theory,Fuzzy logic control,Nonlinear system,Control theory,Fuzzy logic,Symmetric matrix,Control engineering,Process control,Engineering,Double layer (surface science)
Conference
ISSN
Citations 
PageRank 
1553-572X
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
Huijun Gao18923416.93
Fangzhou Liu212510.67
Tong Wang330512.18
Shen Yin42149115.64