吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊1): 231-234.

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Grinding process control algorithm based on ANFIS

QI Yi-ming1, KONG De-gang2, ZANG Xue-bai1, ZHAO Yuan-heng1   

  1. 1. Department of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2. School of Software Professional Technology, Changchun Institute of Technology, Changchun 130012, China
  • Received:2011-03-20 Online:2011-09-01 Published:2011-09-01

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Abstract:

Grinding process is a key link of mineral process,which costs the large investment,occupies more resources,and the ore size which is its output is an important indicator of the follow-up process.This paper is concentrating on characteristic and the development status of grinding process,concluding the classification of fuzzy control rules,and establishes the different control model for control objects by the ANFIS.Also setting a control model in using the ANFIS on controlling different objects in grinding process.Self adjusting,adjusting control parameters,accommodating in a variable condition and a control circumstance in a dynamic changing had been occurred too.By comparing simulation results,This Algorithm can not only use the existing control rules,but also automatically adjust the parameters by adaptive features,that improve the control precision and the real-time of the control.

Key words: neural network, fuzzy control, ANFIS, adaptive control, grinding process

CLC Number: 

  • TP274


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