Soft Sensor of Particle Size of Grinding Process Based on Improved CSAPSO Neural Networks

Authors

Zhou Ying, 1. School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China;;2. Hebei Control Engineering Research Center, Tianjin 300130, China;
Huimin Zhao, 1. School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China;;
Chen Yang, 1. School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China;;
Wang Long, 1. School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China;;

Abstract

Abstract: Aiming at the problems that the particle size can’t be measured online and the offline analysis by lab sample existing in large-time delay, by combining the characteristics of the one stage grinding circuit, the soft sensor model of particle size was proposed by the combination of improved chaotic self-adaptive particle swarm optimization and BP neural network algorithm. Taking advantages of chaotic theory ergodicity and PSO global optimal searching ability, the algorithm above couldadjust the weights of BP network adaptively and avoid falling into the local optimum. As a result of MATLAB simulation, the measurement accuracy of the improved CSAPSO-BP NN is higher than the PSO-BP NN and CPSO-BP NN, and it also has better ability of convergence and optimization performance. To sum up, the proposed soft sensor approach is efficient.

Recommended Citation

Ying, Zhou; Zhao, Huimin; Yang, Chen; and Long, Wang (2020) "Soft Sensor of Particle Size of Grinding Process Based on Improved CSAPSO Neural Networks," Journal of System Simulation: Vol. 28: Iss. 12, Article 10.
DOI: 10.16182/j.issn1004731x.joss.201612010
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss12/10

First Page

2946

Revised Date

2015-08-19

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201612010

Last Page

2950

CLC

TP18

Recommended Citation

Zhou Ying, Zhao Huimin, Chen Yang, Wang Long. Soft Sensor of Particle Size of Grinding Process Based on Improved CSAPSO Neural Networks[J]. Journal of System Simulation, 2016, 28(12): 2946-2950.

DOI

10.16182/j.issn1004731x.joss.201612010