Multivariable Control Strategy for Combustion System of Circulating Fluidized Bed Boiler

2012 ◽  
Author(s):  
Yufei Zhang ◽  
Huajie He ◽  
Hanbo Zhu ◽  
Zhigang Su ◽  
Yongsheng Hao
Keyword(s):  
Fluidized Bed ◽  
Control Strategy ◽  
Circulating Fluidized Bed ◽  
Multivariable Control ◽  
Combustion System ◽  
Circulating Fluidized Bed Boiler

Modeling and Simulation of Circulating Fluidized Bed Boiler Combustion System Based on Neural Network

2013 ◽  
Vol 706-708 ◽  
pp. 859-863
Author(s):  
Lin Lin Cui ◽  
Hua Lai ◽  
Xiao Qian Yu ◽  
Ming Jie Qi
Keyword(s):  
Neural Network ◽  
Fluidized Bed ◽  
Circulating Fluidized Bed ◽  
Paper Mill ◽  
Network Control ◽  
System Control ◽  
Combustion System ◽  
Circulating Fluidized Bed Boiler ◽  
Control Precision ◽  
Neural Network Algorithm

According to the multivariable coupling、 large time delay, non-linearity and time-varying and other difficulties of circulating fluidized bed boiler combustion system, a kind of control technology based on neural network to circulating fluidized bed boiler combustion system was presented. Actual parameter data of a paper mill in Kunming and neural network control principle were used in the establishment of a circulating fluidized bed boiler combustion system mathematical model and modified BP neural network algorithm training. Results of MATLAB simulation show that boiler combustion system control precision was effectively improved and good effects in production and application were got.

Real-Time Simulation Model on Combustion System of 450 T/H Circulating Fluidized Bed Boiler

2003 ◽  
Author(s):  
Chen Hongwei ◽  
Gao Jianqiang ◽  
Li Yonghua ◽  
Zhen Zhi
Keyword(s):  
Simulation Model ◽  
Real Time ◽  
Fluidized Bed ◽  
Circulating Fluidized Bed ◽  
Thermal Power ◽  
Simulation Software ◽  
Combustion System ◽  
Circulating Fluidized Bed Boiler ◽  
Real Time Simulation ◽  
Time Simulation

The paper introduced a real time simulation model of 450 t/h circulating fluidized bed boiler (CFBB) combustion system and its development method in detail. It is an important part model of operator training purpose simulator, which is for Baoding Thermal Power Plant, Hebei, China. The simulation model is created with the support of STAR-90™ Simulation software, and developed by way of engineering modular modeling (EMM) method. It is mainly composed by 4 model blocks, i.e. PRECMBST, FBC2, CYCLONE and JVLV, which stand for gas duct combustor under the bed, furnace combustor, cyclone gas separator, and loop seal valve in the CFBB respectively. The simulation results indicated that the model could properly reflect the dynamic and static characteristics of the combustion system of the CFBB. It not only can be used for training simulators, but also for system optimum design and control system analysis.

Sign in / Sign up

Export Citation Format

Share Document