A Dual-Axis Smart Solar Tracking System Using Labview and Microcontroller Interfacing

The orientation of a photovoltaic panel with respect to incident sunlight affects the amount of light received by its surface. A fixed panel cannot remain optimally aligned as the apparent position of the Sun changes. This paper describes the design of a low-cost, dual-axis solar-tracking control prototype based on four light-dependent resistors (LDRs), an Arduino Nano, and a virtual instrument developed in NI LabVIEW. The LDRs are arranged in opposing pairs to sense relative illumi-nation in the horizontal and vertical directions. Their voltage-divider outputs are acquired through the Arduino’s analog inputs and communicated to LabVIEW using the LINX toolkit over a USB serial connection. LabVIEW calculates the differences between opposing sensor readings and applies a threshold-based decision rule to select an increase, decrease, or no-change correction for each axis. Numerical indicators and shift registers are used to display measurements and retain the calculated angle-related values. The implemented work demonstrates sensor acquisition, graphical programming, threshold-based decision logic, and microcontroller–computer interfacing. Physical servo positioning, solar-panel integration, and quantitative tracking-efficiency evaluation are identified as further development rather than completed experimental outcomes

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23724646
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Dual-Axis Smart Solar Tracking System Using Labview and Microcontroller Interfacing

Riddhi Tambi, Ayush Satyam, Shuktika Mallaya
Zenodo (CERN European Organization for Nuclear Research)
Photovoltaic System Optimization Techniques
article

A Dual-Axis Smart Solar Tracking System Using Labview and Microcontroller Interfacing

Riddhi Tambi, Ayush Satyam, Shuktika Mallaya
article en

Abstract

The orientation of a photovoltaic panel with respect to incident sunlight affects the amount of light received by its surface. A fixed panel cannot remain optimally aligned as the apparent position of the Sun changes. This paper describes the design of a low-cost, dual-axis solar-tracking control prototype based on four light-dependent resistors (LDRs), an Arduino Nano, and a virtual instrument developed in NI LabVIEW. The LDRs are arranged in opposing pairs to sense relative illumi-nation in the horizontal and vertical directions. Their voltage-divider outputs are acquired through the Arduino’s analog inputs and communicated to LabVIEW using the LINX toolkit over a USB serial connection. LabVIEW calculates the differences between opposing sensor readings and applies a threshold-based decision rule to select an increase, decrease, or no-change correction for each axis. Numerical indicators and shift registers are used to display measurements and retain the calculated angle-related values. The implemented work demonstrates sensor acquisition, graphical programming, threshold-based decision logic, and microcontroller–computer interfacing. Physical servo positioning, solar-panel integration, and quantitative tracking-efficiency evaluation are identified as further development rather than completed experimental outcomes

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Photovoltaic System Optimization Techniques
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.

Laika access coming soon