PMID- 30803744
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20190613
IS  - 1879-2022 (Electronic)
IS  - 0019-0578 (Linking)
VI  - 90
DP  - 2019 Jul
TI  - Disturbance-observer-based fuzzy model predictive control for nonlinear processes 
      with disturbances and input constraints.
PG  - 74-88
LID - S0019-0578(18)30537-8 [pii]
LID - 10.1016/j.isatra.2018.12.041 [doi]
AB  - This paper proposes a disturbance-observer-based fuzzy model predictive control 
      (DOBFMPC) scheme for the nonlinear process subject to disturbances and input 
      constraints. The proposed control scheme is composed of the baseline fuzzy model 
      predictive control (FMPC) law designed on the Takagi-Sugeno fuzzy model and the 
      disturbance compensation law. To build a fuzzy model of appropriate complexity 
      and accuracy for the nonlinear process model, a systematic approach is developed 
      via the gap metric to determine the linearization points. With FMPC, the 
      asymptotic stability is theoretically proved, and the input constraints are 
      satisfied by both the free control variables and the future control inputs in the 
      form of the state feedback law. The disturbance compensation gain is designed 
      such that the influence of the disturbance is removed from the output channels by 
      the composite DOBFMPC law at the steady state. The application to a subcritical 
      boiler-turbine system demonstrate the effectiveness of the proposed control 
      scheme.
CI  - Copyright (c) 2019 ISA. Published by Elsevier Ltd. All rights reserved.
FAU - Kong, Lei
AU  - Kong L
AD  - Department of Automation, Key Laboratory of System Control and Information 
      Processing, Ministry of Education, Shanghai Jiao Tong University, 800 Dongchuan 
      Road, Shanghai 200240, China. Electronic address: konglei@sjtu.edu.cn.
FAU - Yuan, Jingqi
AU  - Yuan J
AD  - Department of Automation, Key Laboratory of System Control and Information 
      Processing, Ministry of Education, Shanghai Jiao Tong University, 800 Dongchuan 
      Road, Shanghai 200240, China. Electronic address: jqyuan@sjtu.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20190216
PL  - United States
TA  - ISA Trans
JT  - ISA transactions
JID - 0374750
OTO - NOTNLM
OT  - Boiler-turbine system
OT  - Disturbance-observer-based control
OT  - Fuzzy model predictive control
OT  - Gap metric
OT  - Input constraint
EDAT- 2019/02/26 06:00
MHDA- 2019/02/26 06:01
CRDT- 2019/02/27 06:00
PHST- 2018/03/24 00:00 [received]
PHST- 2018/11/04 00:00 [revised]
PHST- 2018/12/24 00:00 [accepted]
PHST- 2019/02/26 06:00 [pubmed]
PHST- 2019/02/26 06:01 [medline]
PHST- 2019/02/27 06:00 [entrez]
AID - S0019-0578(18)30537-8 [pii]
AID - 10.1016/j.isatra.2018.12.041 [doi]
PST - ppublish
SO  - ISA Trans. 2019 Jul;90:74-88. doi: 10.1016/j.isatra.2018.12.041. Epub 2019 Feb 
      16.