Journal of System Simulation
Abstract
Abstract: Aiming at the characteristics between a ball mill and a grader during the grinding process such as multi variable, strong-coupling and parameter time variation, after decoupling the mathematical model, a model reference adaptive control (MRAC) method for online automatic gain adjustment by differential evolution algorithm is proposed. Due to return sand and water supply and other factors bringing uncertainty to the controlled object model, it needs to adjust constantly adaptation gain online through the differential evolution so as to overcome the effects of parameter variations in mine operation process and various kinds of interference to system. Simulation results show that the control method performs a smaller overshoot, quicker responsivity and better robustness than the model reference adaptive control with gradient method; the stable control of the grader overflow concentration is achieved; and the model reference adaptive control method with differential evolution algorithm is effective and practical.
Recommended Citation
Ying, Zhou; Yang, Chen; and Yue, Bin
(2019)
"Improved Model Reference Adaptive and Its Application in Grinding Process,"
Journal of System Simulation: Vol. 30:
Iss.
4, Article 49.
DOI: 10.16182/j.issn1004731x.joss.201804049
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss4/49
First Page
1608
Revised Date
2016-07-20
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201804049
Last Page
1614
CLC
TP181
Recommended Citation
Zhou Ying, Chen Yang, Yue Bin. Improved Model Reference Adaptive and Its Application in Grinding Process[J]. Journal of System Simulation, 2018, 30(4): 1608-1614.
DOI
10.16182/j.issn1004731x.joss.201804049
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