| 引用本文: | 施允洋,蔡逢泰,房开拓,等.基于自适应扰动观察法的光伏灌溉系统设计与验证[J].灌溉排水学报,0,():-. |
| SHI Yunyang,CAI Fengtai,FANG Kaituo,et al.基于自适应扰动观察法的光伏灌溉系统设计与验证[J].灌溉排水学报,0,():-. |
|
| 摘要: |
| 【目的】解决光伏灌溉系统中水资源浪费、系统效率低等问题，【方法】本文提出一种基于物联网技术的光伏灌溉系统，实时检测节点处土壤湿度，通过Zigbee技术将检测值传回物联网平台，平台根据设定阈值控制执行机构完成灌溉；针对光伏水泵系统组最大功率点跟踪（MPPT）算法存在的缺陷，提出自适应扰动观察法，通过Matlab/Simulink对算法模拟仿真。【结果】结果表明，本文提出的自适应扰动观察法较定步长扰动观察法追踪速度提升340%，在最大功率点处系统功率损失较低；对稻田和棉花田两种作物土壤湿度进行灌溉控制，其中稻田误差值控制在±3%、棉花田误差值控制在±2%，达到预期效果。【结论】本灌溉系统具有成本低、效率高的优点，通过物联网技术，系统更加符合使用需求，可以远程监控农作物状态，实现农业智能化。 |
| 关键词: Zigbee；扰动观察法；光伏灌溉；物联网 |
| DOI： |
| 分类号:S24 |
| 基金项目:宿迁市科技计划(K202114)江苏高校自然科学研究计划项目(20KJB210013) |
|
| Design and Verification of PV Irrigation System Based on Adaptive Disturbance Observation Method |
|
SHI Yunyang, CAI Fengtai, FANG Kaituo, LIU Fangfang
|
|
Suqian college
|
| Abstract: |
| 【Objective】 To solve the problems of wasted water resources and low system efficiency in PV irrigation system, 【Methods】 This paper proposes a photovoltaic irrigation system based on IOT technology, which detects soil moisture at nodes in real time, transmits the detection value back to the IOT platform through Zigbee technology, and the platform controls the actuator to complete irrigation according to the set threshold; for the defects of the maximum power point tracking (MPPT) algorithm of photovoltaic water pumping system group, the adaptive disturbance observation method is proposed, and the algorithm is simulated by Matlab/Simulink. 【Results】 The results show that the adaptive perturbation observation method proposed in this paper improves the tracking speed by 340% compared with the fixed-step perturbation observation method, and the system power loss is lower at the maximum power point; the irrigation control of soil moisture of two crops, paddy field and cotton field, in which the error value of paddy field is controlled at ±3% and the error value of cotton field is controlled at ±2%, achieves the expected results. 【Conclusion】 This irrigation system has the advantages of low cost and high efficiency. Through the Internet of Things technology, the system is more in line with the needs of use and can remotely monitor the status of crops and realize agricultural intelligence. |
| Key words: Zigbee; perturbation observation method; photovoltaic irrigation; Internet of Things |
