Title :
Nonlinear model predictive control of a boiler unit: A fault tolerant control study
Author :
Patan, Krzysztof ; Korbicz, Józef
Author_Institution :
Inst. of Control & Comput. Eng., Univ. of Zielona Gora, Zielona Góra, Poland
Abstract :
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.
Keywords :
boilers; fault tolerance; neurocontrollers; nonlinear control systems; optimisation; predictive control; recurrent neural nets; boiler unit; fault tolerant control quality; neural predictor; nonlinear model predictive control; one-step ahead predictor; optimization problem; predictive controller; recurrent neural network; Artificial neural networks; Boilers; Fault tolerance; Fault tolerant systems; Optimization; Predictive control; Predictive models;
Conference_Titel :
Control and Fault-Tolerant Systems (SysTol), 2010 Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-8153-8
DOI :
10.1109/SYSTOL.2010.5676015
