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Research of adaptive nonlinear model by integrated irrigation of water and soils in greenhouse for environment and ecological balance
In view of the high control cost and water consumption of the current commercial greenhouse automatic irrigation system, this paper presents an adaptive nonlinear model identification control algorithm based on the integrated irrigation of water, fertilizer and medicine in the greenhouse, and establ...
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Published in: | IOP conference series. Earth and environmental science 2021-07, Vol.804 (4), p.42087 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In view of the high control cost and water consumption of the current commercial greenhouse automatic irrigation system, this paper presents an adaptive nonlinear model identification control algorithm based on the integrated irrigation of water, fertilizer and medicine in the greenhouse, and establishes an adaptive nonlinear model identification control model based on the integrated irrigation of water, fertilizer and medicine in the greenhouse: the adaptive blood equalizer theory is analyzed Based on the known theory, the LMS adaptive equalizer is simulated. The simulation results show that the denoising effect of the adaptive equalizer based on LMS algorithm is very significant, and the algorithm has small amount of calculation and is easy to be implemented in engineering. It has strong applicability. Under the premise of achieving effective greenhouse irrigation effect, the control system reduces the water consumption by 30%, and reduces the opening time of the irrigation system and the control cost. |
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ISSN: | 1755-1307 1755-1315 |
DOI: | 10.1088/1755-1315/804/4/042087 |