Decoupling control of electric heating furnace temperature based on DRNN neural network

Author

Ding-Du, Wen

Author_Institution

Coll. of Electr. & Inf. Eng., Hunan Univ. of Technol., Zhuzhou, China

fYear

2010

fDate

7-10 May 2010

Firstpage

261

Lastpage

264

Abstract

For the electric heating coupling furnace problem, according to Jacobian information identification of DRNN neural network, the PID decoupling control method based on DRNN neural network setting is proposed for electrical heater furnace. And the electrical heater furnace time-varying system is simulated. Simulation results show that compared with the general PID decoupling control, the PID decoupling control based on DRNN neural network has good decoupling and self-learning control performance characteristics.

Keywords

electric furnaces; electric heating; learning systems; recurrent neural nets; three-term control; time-varying systems; DRNN neural network; PID decoupling control method; electric heating furnace temperature; self-learning control; time-varying system; Artificial neural networks; Control systems; Furnaces; Heat engines; Jacobian matrices; Neural networks; Recurrent neural networks; Resistance heating; Temperature control; Three-term control; DRNN; Decoupling control; Electrical heating furnace; Neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Computer Technology (ICECT), 2010 International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-7404-2

Electronic_ISBN

978-1-4244-7406-6

Type

conf

DOI

10.1109/ICECTECH.2010.5479934

Filename

5479934