Title :
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
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;
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
DOI :
10.1109/APPEEC.2010.5448227
