Operating Point Control System in Single-Phase Motor Pump Sets Used in Irrigation Systems: Development and Evaluation

Fixed irrigation systems often experience uneven water pressure across different sections, making it challenging to irrigate all areas efficiently without wasting energy. This issue is particularly evident when using low-power, single-phase motors. To address this, we created a load controller that fine-tunes how these motors work in irrigation systems with changing needs. Our load controller uses a MOC-TRIAC circuit and an Arduino Nano to adjust motor power. Furthermore, we developed a smartphone app that connects via Bluetooth, allowing users to conveniently set the motor power as needed. We tested it on two 1 hp motor pumps, using valves, a flow meter, and pressure gauges to simulate different conditions. By adjusting the “firing angle” of the motor, we were able to change the water pressure by up to 80% while maintaining the flow rate the same. This resulted in energy savings up to 70% and reduced current consumption by 50%. The only limitation occurred at very high-power reductions (75%) and low flow rates (below 3 m3 h−1), where motor overheating was observed. Overall, our load controller presents a promising solution to save energy in irrigation systems by precisely matching motor power to the system’s needs.

Authors

Institutions

Publication Details

Journal
AgriEngineering
Published
2025-09-15
DOI
https://doi.org/10.3390/agriengineering7090298
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Operating Point Control System in Single-Phase Motor Pump Sets Used in Irrigation Systems: Development and Evaluation

Daniel Fonseca de Carvalho, Audreia Damiana Silva Antonello Pereira, Angelo Tiago Azevedo, Marcus Vinícius Morais de Oliveira et al.
AgriEngineering
Sensorless Control of Electric Motors
article

Operating Point Control System in Single-Phase Motor Pump Sets Used in Irrigation Systems: Development and Evaluation

Daniel Fonseca de Carvalho, Audreia Damiana Silva Antonello Pereira, Angelo Tiago Azevedo, Marcus Vinícius Morais de Oliveira, Marinaldo Ferreira Pinto
article en

Abstract

Fixed irrigation systems often experience uneven water pressure across different sections, making it challenging to irrigate all areas efficiently without wasting energy. This issue is particularly evident when using low-power, single-phase motors. To address this, we created a load controller that fine-tunes how these motors work in irrigation systems with changing needs. Our load controller uses a MOC-TRIAC circuit and an Arduino Nano to adjust motor power. Furthermore, we developed a smartphone app that connects via Bluetooth, allowing users to conveniently set the motor power as needed. We tested it on two 1 hp motor pumps, using valves, a flow meter, and pressure gauges to simulate different conditions. By adjusting the “firing angle” of the motor, we were able to change the water pressure by up to 80% while maintaining the flow rate the same. This resulted in energy savings up to 70% and reduced current consumption by 50%. The only limitation occurred at very high-power reductions (75%) and low flow rates (below 3 m3 h−1), where motor overheating was observed. Overall, our load controller presents a promising solution to save energy in irrigation systems by precisely matching motor power to the system’s needs.

AgriEngineeringVol. 7(9)
Universidade Federal Rural do Rio de Janeiro (BR), Universidade de São Paulo (BR)
Openalex Percentile: Top 76%
Sensorless Control of Electric Motors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.