| Autor: |
SHI Yunyang, LI Yulong, FANG Kaituo, LIU Fangfang |
| Jazyk: |
čínština |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Guan'gai paishui xuebao, Vol 41, Iss 9, Pp 71-76 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1672-3317 |
| DOI: |
10.13522/j.cnki.ggps.2022020 |
| Popis: |
【Objective】 PV irrigation system is a new technology that has seen an increased application in helping irrigation management in China. The purpose of this paper is to propose a method to increase water use efficiency and operation efficiency of the PV system. 【Method】 The photovoltaic irrigation system we studied was based on the IOT technology. It detects soil moisture at nodes in real time, transmits the detection value to the IOT platform through a zig-bee technology. The platform controls the actuator to complete irrigation based on a pre-set threshold. For alleviating the disadvantage of the maximum power point tracking (MPPT) algorithm traditionally used for photovoltaic water pumping system, we proposed an adaptive disturbance observation method and solved it using Matlab/Simulink. 【Result】 The adaptive perturbation observation method improved the tracking speed by 340%, compared with the fixed-step perturbation observation method, and reduced the system power at the maximum power point. Application to a paddy field and a cotton field showed that the adaptive method can control soil moisture in the paddy field with ±3% error, and in the cotton field with ±2% error. 【Conclusion】 The proposed adaptive irrigation system has the advantages of low cost and high efficiency. Through the internet technology, the system can be used to remotely monitor soil moisture status of cropping fields and realize intelligent irrigation. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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