Application of PID based on BPNN to heating boilers

Author

Wang Yanping ; Chen Guofang

Author_Institution

Coll. of Electr. Eng., Henan Univ. of Technol., Zhengzhou, China

Volume

3

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

88

Lastpage

91

Abstract

In order to achieve simple and effective control for heating boiler, a BPNN-based PID controller was used in the burden control system of heating boiler to deal with the feedback information and the quantity of fuel entering boiler. The controller could realize online real-time adjustment of the controller parameters by self-learning. The simulation results verify that, using the PID controller based on PINN, the burden control system of the heating boiler not only gains the better control performance, but also acquires stronger adaptability to math model.

Keywords

adaptive systems; backpropagation; boilers; heating; learning systems; neural nets; neurocontrollers; real-time systems; self-adjusting systems; three-term control; BPNN based PID controller; adaptability; backpropagation neural network; burden control system; heating boiler; online real-time adjustment; self-learning system; Computer languages; Heating; BP neural network; PID; heating boiler;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-7957-3

Type

conf

DOI

10.1109/CMCE.2010.5610397

Filename

5610397