Simulation about applying generalized predictive control algorithm based on improved Elman neural network to combustion system of circulating fluidized bed boiler

2014 ◽  
Author(s):  
Chunyuan Su ◽  
Hujun Ling ◽  
Yinbo Liu ◽  
Jinghua Li ◽  
Zhongyang Yuan
Keyword(s):  
Neural Network ◽  
Fluidized Bed ◽  
Predictive Control ◽  
Control Algorithm ◽  
Circulating Fluidized Bed ◽  
Generalized Predictive Control ◽  
Combustion System ◽  
Circulating Fluidized Bed Boiler ◽  
Elman Neural Network

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.

Research on a Direct Generalized Predictive Control for Circulating Fluidized Bed Combustion System

2012 ◽  
Vol 241-244 ◽  
pp. 1122-1127
Author(s):  
Hua Lai ◽  
Ya Zhe Meng ◽  
Ming Jie Qi ◽  
Wen Qing Ge ◽  
Lin Lin Cui
Keyword(s):  
Steady State ◽  
Fluidized Bed ◽  
Predictive Control ◽  
Circulating Fluidized Bed ◽  
Generalized Predictive Control ◽  
Combustion System ◽  
Fluidized Bed Combustion ◽  
Simulation Process ◽  
Circulating Fluidized Bed Combustion

A simulation process and resulting for circulating fluidized bed combustion system was presented. The controlled plant was a 3I3O sub-system, and a direct generalized predictive control was used as controlling algorithm. Satisfying dynamic and steady-state performances are got.

Study on Control of the Second Carbonation in the Clarifying Process of Sugar Cane Juice via Generalized Predictive Control Algorithm

2013 ◽  
Vol 303-306 ◽  
pp. 1257-1260 ◽  
Author(s):  
Chun Ning Song ◽  
Wen Han Zhong
Keyword(s):  
Neural Network ◽  
Predictive Control ◽  
Bp Neural Network ◽  
Sugar Cane ◽  
Control Algorithm ◽  
Generalized Predictive Control ◽  
Cane Juice ◽  
Sugar Cane Juice ◽  
High Control ◽  
Complex Nonlinear Systems

The second carbonation in the clarifying process of sugar cane juice is a dynamic nonlinear system which has the characteristics of strong non-linearity, multi-constraint, large time-delay, multi-input and other characteristics of complex nonlinear systems. In this paper, BP neural network is applied to the model of the second carbonation clarifying process of sugar cane juice. The generalized predictive control algorithm is employed to the optional control of color value in clarifying process of second carbonation. The result of Matlab simulation shows that generalized predictive control algorithm based on BP neural network implement the optimal control of the second carbonation with strong robustness and high control precision.

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