Research on Optimal Control Model for Ball Mill Based on Genetic Algorithm

Cheng Liang Zhang; Jia Fang Yang; Yong Hua Cao

doi:10.4028/www.scientific.net/AMR.1028.227

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1028Research on Optimal Control Model for Ball Mill...

Research on Optimal Control Model for Ball Mill Based on Genetic Algorithm

Abstract:

As the key equipment in coal-fired power plants, the optimal control problem of ball mill is an important factor affecting the efficient operation of the mill. In this paper, the output model, energy consumption model and unit consumption model of coal pulverizing system are built on the basis of analysis of ball mill running condition. The unit consumption model is used as the genetic algorithm fitness function. The outlet temperature, practical ventilation and coal load of ball mill are chosen as the optimization variables. The algorithm model is built to solve the multi-objective problem of ball mill.

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Periodical:

Advanced Materials Research (Volume 1028)

Pages:

227-230

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1028.227

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Online since:

September 2014

Authors:

Cheng Liang Zhang*, Jia Fang Yang, Yong Hua Cao

Keywords:

Coal Mill, Genetic Algorithm (GA), Optimal Control, Pulverizing System

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* - Corresponding Author

References

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