Study of an algorithm of GA-BP neural network generalized predictive control for Generating Unit

Author(s):  
Yunli Zhang ◽  
Hujun Ling
2013 ◽  
Vol 303-306 ◽  
pp. 1257-1260 ◽  
Author(s):  
Chun Ning Song ◽  
Wen Han Zhong

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.


1999 ◽  
Vol 32 (2) ◽  
pp. 7073-7077
Author(s):  
Zhe Wang ◽  
Hongshuang Di ◽  
Guodong Wang ◽  
Xianghua Liu

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