Predictive Control of Heat Supply Process Based on BP Predictive Model and Gold Section Algorithm

Author

Deng, Shengchaun ; Zhang, Yongming ; Chen, Lie ; Qi, Weigui

Author_Institution

Dept. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China

fYear

2010

fDate

28-31 March 2010

Firstpage

1

Lastpage

3

Abstract

According to the characteristics of heat supply and the demands of energy-saving control, predictive control based on BP model and gold section method is proposed. BP model is trained with real data from heat supply system, and then solving control rate by gold section algorithm. This control strategy uses rolling optimization and feedback correction, it effectively overcomes the problems of time-delay, uncertain, nonlinear in heat supply process.The simulation results show the effectiveness of this method in control system, it also has a good track performance.

Keywords

backpropagation; delays; feedback; heat systems; neurocontrollers; nonlinear control systems; optimisation; predictive control; uncertain systems; BP predictive model; backpropagation; energy-saving control; feedback correction; gold section algorithm; heat supply process; nonlinear problem; predictive control; rolling optimization; time-delay problem; uncertain problem; Gold; Heating; Neural networks; PD control; Pi control; Predictive control; Predictive models; Proportional control; Robust control; Temperature control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific

Conference_Location

Chengdu

Print_ISBN

978-1-4244-4812-8

Electronic_ISBN

978-1-4244-4813-5

Type

conf

DOI

10.1109/APPEEC.2010.5448227

Filename

5448227