DocumentCode :
2111101
Title :
Coordination control system study based on DRNN for marine power system
Author :
Xie Yonghua ; Wang Keqi ; Zhang Yu
Author_Institution :
Northeast Forestry Univ., Harbin, China
fYear :
2010
fDate :
29-31 July 2010
Firstpage :
292
Lastpage :
295
Abstract :
Due to the non-linear and strong coupling characteristics of the marine steam power system, and the requirement of security and economy, boiler-turbine system coordination control is very necessary. The model of power system is identified by the diagonal recurrent network, with parameters of PI controller online self-tuned by Jacobian information, so multivariable decoupling control of boiler-turbine coordination is realized. The process simulations show that the system can achieve a good tracking performance of the drum pressure and output power over a wide operating range, while the water level in the drum is kept within tolerance, and it has a strong anti-interference ability.
Keywords :
Jacobian matrices; PI control; boilers; control system synthesis; hydroelectric power; marine control; multivariable control systems; nonlinear control systems; power system control; recurrent neural nets; turbines; DRNN; Jacobian information; PI controller; antiinterference ability; boiler turbine system coordination control system; diagonal recurrent neural network; drum pressure; marine steam power system; multivariable decoupling control; online self tuning; Biological system modeling; Control systems; Couplings; Electronic mail; Genetics; Power systems; Tuning; Coordination Control System; DRNN; Marine Power System; Self-tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
Type :
conf
Filename :
5573569
Link To Document :
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