PMID- 30827712
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20190613
IS  - 1879-2022 (Electronic)
IS  - 0019-0578 (Linking)
VI  - 90
DP  - 2019 Jul
TI  - Generalized Discrete-time nonlinear disturbance observer based fuzzy model 
      predictive control for boiler-turbine systems.
PG  - 89-106
LID - S0019-0578(19)30004-7 [pii]
LID - 10.1016/j.isatra.2019.01.003 [doi]
AB  - The boiler-turbine system (BTS) is usually subject to the tight input constraint, 
      the strong nonlinearity and the complex disturbance, which makes the control a 
      challenging task To this end, a disturbance observer based fuzzy model predictive 
      control (DOBFMPC) scheme is proposed for the BTS in this paper. The generalized 
      discrete-time nonlinear disturbance observer (GDNDO) is first developed to 
      estimate the higher-order disturbance by systematically extending the 
      conventional nonlinear disturbance observer. The GDNDO exhibits a series 
      structure of the internal states, and can precisely estimate the disturbance if 
      its order is equal to or greater than that of the disturbance In addition, a 
      baseline fuzzy model predictive control (FMPC) law is synthesized on the fuzzy 
      model. With FMPC, the asymptotic stability is guaranteed, and meanwhile the input 
      constraints are satisfied by both the free control variables and the future 
      control inputs in the form of the state feedback law. At last, the disturbance 
      estimate and the FMPC are applied to constitute the DOBFMPC law. With the proper 
      design of the disturbance compensation gain, the disturbance influence is removed 
      from the output channels by the composite DOBFMPC law at the steady state. 
      Simulations for a 300 MW subcritical BTS well 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  - Disturbance observer based control
OT  - Fuzzy model predictive control
OT  - Generalized discrete-time nonlinear disturbance observer
OT  - High-order disturbance
OT  - Input constraint
EDAT- 2019/03/05 06:00
MHDA- 2019/03/05 06:01
CRDT- 2019/03/05 06:00
PHST- 2018/09/07 00:00 [received]
PHST- 2018/12/31 00:00 [revised]
PHST- 2019/01/03 00:00 [accepted]
PHST- 2019/03/05 06:00 [pubmed]
PHST- 2019/03/05 06:01 [medline]
PHST- 2019/03/05 06:00 [entrez]
AID - S0019-0578(19)30004-7 [pii]
AID - 10.1016/j.isatra.2019.01.003 [doi]
PST - ppublish
SO  - ISA Trans. 2019 Jul;90:89-106. doi: 10.1016/j.isatra.2019.01.003. Epub 2019 Feb 
      16.