Automated Dual Axis Solar Tracking System using LDR Sensors

Salgaonkar, Karan; Shirodkar, Anupam; Yedurkar, Akshay; Mohite, None Ankit

doi:10.17577/ijertv6is070189

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…The controlling system is carried out by digital signal processor (DSP) microcontroller [33]. A manageable low-cost solar tracker system developed with dual axis operated by Light Dependent Resistor (LDR) [34]. The output performance is compared with the fixed solar panel.…”

Section: Solar Tracking and Intelligent Control Methodsmentioning

confidence: 99%

Intelligent Computing and Control Framework for Smart Automated System

Manikandan¹,

Ranganathan²,

Bindhu³

2022

Intelligent Automation &Amp; Soft Computing

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This paper presents development and analysis of different control strategies for smart automated system. The dynamic role of an electrical motor and sensor interfacing with wireless module becomes an essential element in a smart agriculture system to monitor various environmental parameters. The various key parameters such as temperature, humidity, air pressure, soil health and solar radiation are widely used to analyze the growth of plants and soil health based on different climate conditions. However, the smart development of an automatic system to measure these vital parameters provides a feasible approach and helps the farmers to monitor their crops productivity. In this paper, a smart sensor based intelligent and automatic control strategies such as fuzzy logic controller and PID (Proportional Integral Derivative) controller is developed to collect the real time environmental parameters and to adapt any environmental conditions by updating their membership functions automatically with the help of sensor outputs. This paper targets to bring the usage of sensor-based intelligent and automatic control methods in the field of an agriculture system which includes automatic solar panel tracking and control, environmental vital parameters measurement, monitoring and implementation of intelligent control methods. The different experiments have been carried out with the support of graphical and microcontroller programming environment. Experimental results provide that the proposed system effectively measure the environmental parameters and provide an accurate transmission of data for continuous monitoring. The advantage of the proposed system is simple, easy to implement and maintain the dynamic environment for plants with respect to any climate conditions.

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Section: Solar Tracking and Intelligent Control Methodsmentioning

confidence: 99%

Intelligent Computing and Control Framework for Smart Automated System

Manikandan¹,

Ranganathan²,

Bindhu³

2022

Intelligent Automation &Amp; Soft Computing

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“…The generated power from the PV module is in the form of DC voltage which can then be altered depending on the type of load network (AC or DC) and the required operating voltage. Solar panels can be mounted in fixed and movable configurations (Shukla and Prakash, 2017). The solar panel is mounted on a surface according to the sunlight's direction at a certain angle in a fixed setup.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of a novel multi-faceted-efficient pneumatic dual-axis solar tracker

Fathi

Amjadifard

Eshghi

et al. 2022

WJE

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Purpose Photovoltaic (PV) systems are experiencing exponential growth due to environmental concerns, unlimited and ubiquitous solar energy, and starting-to-make-sense panel costs. Alongside designing more efficient solar panels, installing solar trackers and special circuitry for optimizing power delivery to the load according to a maximum power point tracking (MPPT) algorithm are other ways of increasing efficiency. However, it is critical for any efficiency increase to account for the power consumption of any amendments. Therefore, this paper aims to propose a novel tracker while using MPPT to boost the PV system's actual efficiency accounting for the involved costs. Design/methodology/approach The proposition is an experimental pneumatic dual-axis solar tracker using light-dependent resistor (LDR) sensors. Due to its embedded energy storage, the pneumatic tracker offers a low duty-cycle operation leading to tracking energy conservation, fewer maintenance needs and scalability potential. While MPPT assures maximum load power delivery, the solar PV's actual delivered power is calculated for the first time, accounting for the solar tracking and MPPT power costs. Findings The experiments' results show an increase of 37.6% in total and 35.3% in actual power production for the proposed solar tracking system compared to the fixed panel system, with an MPPT efficiency of 90%. Thus, the pneumatic tracking system offers low tracking-energy consumption and good actual power efficiency. Also, the newly proposed pneumatic stimulant can significantly simplify the tracking mechanism and benefit from several advantages that come along with it. Originality/value To the best of the authors’ knowledge, this work proposes, for the first time, a single-motor pneumatic dual-axis tracker with less implementation cost, less frequent operation switching and scalability potential, to be developed in future works. Also, the pneumatic proposal delivers high actual power efficiency for the first time to be addressed.

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Solar tracking control systems design strategies: A review

Mohamed,

Yacob

2024

AIP Conference Proceedings

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Automated Dual Axis Solar Tracking System using LDR Sensors

Cited by 3 publications

References 3 publications

Intelligent Computing and Control Framework for Smart Automated System

Intelligent Computing and Control Framework for Smart Automated System

Design and implementation of a novel multi-faceted-efficient pneumatic dual-axis solar tracker

Solar tracking control systems design strategies: A review

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