NONLINEAR MODEL PREDICTIVE CONTROL OF A BOILER UNIT: A FAULT TOLERANT CONTROL STUDY

被引：33

作者：

Patan, Krzysztof ^{[1
]}

Korbicz, Jozef ^{[1
]}

机构：

[1] Univ Zielona Gora, Inst Control & Computat Engn, PL-65246 Zielona Gora, Poland

来源：

INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE | 2012年 / 22卷 / 01期

关键词：

recurrent neural networks; process model; predictive control; fault detection; boiler unit;

D O I：

10.2478/v10006-012-0017-6

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 a 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 also investigated. A set of eight faulty scenarios is prepared to verify the quality of the fault tolerant control. Based of different faulty situations, a fault compensation problem is also investigated. As the automatic control system can hide faults from being observed, the control system is equipped with a fault detection block. The fault detection module designed using the one-step ahead predictor and constant thresholds informs the user about any abnormal behaviour of the system even in the cases when faults are quickly and reliably compensated by the predictive controller.

引用

页码：225 / 237

页数：13

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