NDLI: Nonlinear double control strategy research with fuzzy internal model control and PID control based on fuzzy modeling

Content Provider	IEEE Xplore Digital Library
Author	Yugang Hou Yao Meng Xiangzhong Meng Wanli Wang
Copyright Year	2010
Description	Author affiliation: School of Mechanical Electronic & Information Engineering, China University of Mining and Technology, Beijing100083, China (Yugang Hou) \|\| College of Automation and Electronic Engineering, Qingdao University of Science and Technology, 266042,China (Yao Meng; Xiangzhong Meng; Wanli Wang)
Abstract	Considering the difficulty of getting accurate forward and inverse models of object in the majority of practical plants with IMC, A modeling technique based on C-R fuzzy step model for nonlinear systems is introduced. On that basis, nonlinear fuzzy internal model control (FIMC) design based on C-R fuzzy step model is studied. Because there is the model mismatch problem between the identified forward and inverse models of the plant based on the input-output data of plant, it will make the system controllable quality lessened in the control system based on C-R fuzzy step Model. To improve the performance of the control system, PID control is connected parallel to the fuzzy internal model control structure, then the double control strategy with nonlinear fuzzy internal model control and PID control based on C-R fuzzy step model (CR-FIMC-PID) is proposed. The simulation results show that the proposed control strategy is effective, feasible, and has good control performance.
Starting Page	5022
Ending Page	5026
File Size	512261
Page Count	5
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554673
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Inverse problems Control systems Adaptation model Computational modeling Analytical models Nonlinear systems CR-FIMC-PID C-R Fuzzy Step Model Fuzzy modeling FIMC nonlinear system
Content Type	Text
Resource Type	Article

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