Title :
Diagonal Recurrent Neural Networks with Application to Multivariable Temperature Control
Author :
Zhang, Jianhua ; Hou, Guolian
Author_Institution :
Dept. of Autmation, North China Electr. Power Univ., Beijing
Abstract :
A multivariable control strategy for steam temperature control system in a power plant is presented with the aid of diagonal recurrent neural networks (DRNN). There exists strong couple between reheating process and desuperheating process in this system. The unknown controlled process dynamics are identified by two diagonal recurrent neuro-identifiers (DRNI), which provide the sensitivity information of the objects to two diagonal recurrent neuro-controllers (DRNC) respectively. The convergence of the proposed control algorithm is analyzed. The control strategy has been used in the simulation to control reheating steam temperature and superheated steam temperature of a 200 MW coal fueled power plant, the simulation verifies the effectiveness of the proposed method
Keywords :
multivariable control systems; neurocontrollers; power generation control; recurrent neural nets; steam power stations; temperature control; coal fueled power plant; diagonal recurrent neural networks; diagonal recurrent neuroidentifiers; multivariable control strategy; multivariable temperature control; power plant; reheating steam temperature control; steam temperature control system; superheated steam temperature; Artificial neural networks; Control systems; Power generation; Process control; Recurrent neural networks; Regulators; Spraying; Temperature control; Temperature sensors; Three-term control;
Conference_Titel :
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9513-1
Electronic_ISBN :
0-7803-9514-X
DOI :
10.1109/ICIEA.2006.257169
