Journal of System Simulation
Abstract
Abstract: According to the current situation of potato storage and serious waste of raw materials and human resources of potato processing enterprises, combined with temperature data characteristics of potato storage from Xinjiang Great Russell Agricultural Science and Technology Development LTD., and control effect of the conventional control methods which is not ideal, a new temperature predictive control method was proposed, which rolled to optimize the input control variable by using particle swarm optimization algorithm and get the actual output values, use ESNs to forecast the temperature in the storage, the system was corrected by deviation between forecasting output and actual output. The simulation results show that the proposed temperature control method is effective, not only the control effect is better than that of the LS-SVM predictive control, but also has good adaptability and robustness to disturbance signals.
Recommended Citation
Liu, Junxia; Xiong, Xinrong; and Bing, Hu
(2020)
"Potato Storage Temperature Prediction Control Based on PSO and ESNs,"
Journal of System Simulation: Vol. 28:
Iss.
7, Article 30.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss7/30
First Page
1701
Revised Date
2015-07-21
DOI Link
https://doi.org/
Last Page
1705
CLC
TP391.9
Recommended Citation
Liu Junxia, Xiong Xinrong, Hu Bing. Potato Storage Temperature Prediction Control Based on PSO and ESNs[J]. Journal of System Simulation, 2016, 28(7): 1701-1705.
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