Title :
Variable flow heating control system based on neural network decoupling
Author :
Liu, Chao-ying ; Li, Kai ; Song, Zhe-ying ; Song, Xue-ling ; Wang, Hui-fang
Author_Institution :
Hebei Univ. of Sci. & Technol., Shijiazhuang
Abstract :
The diagonal recurrent neural network (DRNN) has been brought up and applied to the variable flow heating system with features of being nonlinear, time-varying, uncertainty and serious coupling among variations. This application of the network can overcome and eliminate the coupling among the variations, when the control process of heating system is either static or dynamic. What is more, the design of a neural network decoupling controller has also been given. After the Matlab simulation, it shows that the purposes of shortening the dynamic time and completely static decoupling can be achieved and to our satisfaction.
Keywords :
control engineering computing; heat systems; neurocontrollers; nonlinear systems; power engineering computing; recurrent neural nets; time-varying systems; uncertain systems; Matlab simulation; diagonal recurrent neural network decoupling controller; nonlinear system; time-varying system; uncertain system; variable flow heating control system; Control systems; Couplings; Heating; Neural networks; Nonlinear dynamical systems; Process control; Recurrent neural networks; Temperature control; Time varying systems; Uncertainty;
Conference_Titel :
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-1294-5
Electronic_ISBN :
978-1-4244-1294-5
DOI :
10.1109/GSIS.2007.4443396
