Nonlinear model predictive control of a boiler unit: A fault tolerant control study

被引:1
作者
Patan, Krzysztof [1 ]
Korbicz, Jozef [1 ]
机构
[1] Univ Zielona Gora, Inst Control & Computat Engn, Ul Podgorna 50, PL-65246 Zielona Gora, Poland
来源
2010 CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL'10) | 2010年
关键词
D O I
10.1109/SYSTOL.2010.5676015
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with a nonlinear model predictive control designed for a boiler unit. The predictive controller is realized by means of a recurrent neural network which acts as an one-step ahead predictor. Then, based on the neural predictor, the control law is derived solving an optimization problem. Fault tolerant properties of the proposed control system are investigated. A set of 12 faulty scenarios is prepared to verify the quality of fault tolerant control.
引用
收藏
页码:738 / 743
页数:6
相关论文
共 18 条
  • [1] [Anonymous], 2000, NETWORKS MODELLING C
  • [2] Blanke M., 2006, Diagnosis and fault-tolerant control
  • [3] Breger L., 2006, J GUIDANCE CONTROL D, V29, P1179
  • [4] Camacho E.F., 2007, ADV TK CONT SIGN PRO, DOI 10.1007/978-0-85729-398-5
  • [5] GENERALIZED PREDICTIVE CONTROL .1. THE BASIC ALGORITHM
    CLARKE, DW
    MOHTADI, C
    TUFFS, PS
    [J]. AUTOMATICA, 1987, 23 (02) : 137 - 148
  • [6] Haykin S., 1999, Neural Networks: A Comprehensive Foundation, DOI DOI 10.1017/S0269888998214044
  • [7] Isermann R., 2006, Fault-Diagnosis Systems-An Introduction from Fault Detection to Fault Tolerance, DOI [10.1007/3-540-30368-5, DOI 10.1007/3-540-30368-5]
  • [8] Joosten D. A., 2009, P 7 INT S FAULT DET
  • [9] Korbicz J., 2004, FAULT DIAGNOSIS MODE
  • [10] Maciejowski J., 1998, APPL MATH COMPUTER S, V8, P101