Solar Tracking System MATLAB Simulink

Solar tracking is an efficient approach that is utilized for several objectives in an extensive manner. Based on modeling and simulating a solar tracking framework with the aim of improving energy capture, we offer an in-depth overview of the procedures and elements that you can consider for creating this model efficiently:

  1. Project Outline

Goal: For enhancing energy capture, a solar tracking framework has to be modeled and simulated, which assists to follow the motion of the sun by adapting the location of a solar panel.

Major Elements:

  • Control Framework for Monitoring
  • Solar Panel Model
  • Sensors (Position or Light)
  • Actuators (Motors)
  • Simulation Platform.
  1. Essential MATLAB and Simulink Elements
  • Simulink: For the designing and simulation of framework, Simulink is very useful.
  • MATLAB: It is more suitable for scripting and creation of algorithms.
  • Simulink Control Design: Highly appropriate for modeling and adapting control frameworks.
  • Simscape: This is helpful for realistic modeling (if required).
  • Simscape Electrical: It is efficient in designing electrical elements (if necessary).
  1. Procedures to Create the Solar Tracking Framework

Step 1: Design the Solar Panel

  • Develop a Simplified Solar Panel Model:
    • To depict the solar panel, we utilize Simulink blocks. For the requirement of a highly in-depth model, employ a PV module block from Simscape Electrical or a stable power source to design a panel.
  • Specify the Parameters:
    • Various major parameters have to be defined. It could include panel dimension, inclination angle, and position.

Step 2: Sun Position Estimation

  • Algorithm for Sun Position:
    • To assess the position of the sun in terms of time, geographical site, and date, draft a script by employing MATLAB. Through the utilization of previous MATLAB functions or solar position equations, this process can be carried out.

function [azimuth, elevation] = sunPosition(latitude, longitude, dateTime)

% Solar position calculation code


Step 3: Model the Control Systems

  • PID Controller:
    • In order to adapt the location of the solar panel, we utilize a PID controller. In Simulink, employ the PID Controller block to execute this process.
  • Control Logic:
    • To align with the estimated sun position, a suitable logic has to be applied, which adapts the direction and elevation angles of the solar panel.

% PID Controller parameters

Kp = 1;

Ki = 0.1;

Kd = 0.05;

% Simulink block setup

Step 4: Actuator Model

  • Motor Model:
    • To alter the position of the solar panel, a design of the motors must be developed. It is approachable to create a custom design with the aid of fundamental blocks or utilize DC motor blocks from Simscape.
  • Connect Motors to Control System:
    • As a means to simulate the solar panel’s physical motion, the motor designs have to be linked to the control framework.

% Simulink model for DC motor

Step 5: Sensor Incorporation

  • Light Sensor Model:
    • To identify the position or range of the sunlight, we design appropriate sensors. It could involve highly complicated position sensors or a basic light-dependent resistor (LDR) model.
  • Feedback Loop:
    • For the continuous adaptation of the solar panel’s position, the sensor suggestions must be combined into the control framework.

% Sensor feedback logic

Step 6: Simulation and Visualization

  • Simulink Platform:
    • Including all the major elements like solar panel model, sensors, actuators, and control framework, we build the simulation platform.
  • Execute Simulation:
    • To analyze the monitoring performance of the solar panel, the simulation has to be executed for a certain time frame.
  • Visualization:
    • In order to visualize the seized energy and the solar panel’s position, our project utilizes MATLAB plots and Simulink scopes.

% Simulink setup

  1. Example Simulink Model Components

In terms of the resemblance of Simulink model, we provide a basic perspective:

  • Solar Panel Subsystem: Position assessments and panel design are encompassed in this subsystem.
  • Control System Subsystem: Control logic and PID controller are specifically included.
  • Actuator Subsystem: It majorly involves position adaptations and motor designs.
  • Sensor Subsystem: This subsystem contains feedback incorporation and designs for position or light sensors.

What are some cool but easy research paper topics for electrical engineering students?

Electrical engineering is a fast growing and significant domain that has numerous research ideas and concepts. By considering the application and creation of methods, we suggest a few attainable and intriguing research paper topics that could be highly appropriate for electrical engineering scholars:

  1. Optimization Algorithms in Power Systems:
  • In enhancing the effectiveness and performance of power distribution networks, the application of particle swarm optimization, genetic methods, or simulated annealing has to be investigated.
  1. Machine Learning Algorithms for Fault Detection in Electrical Networks:
  • Specifically in identifying and diagnosing faults in electrical grids, the use of machine learning approaches must be explored. It could include neural networks, support vector machines, or decision trees.
  1. Energy Management Algorithms for Smart Grids:
  • For energy sharing and demand-side handling in smart grids, we examine efficient methods with the intention of improving grid strength and reducing energy expenses.
  1. Image Processing Algorithms for Electrical Equipment Inspection:
  • In examining and preserving electrical equipment such as circuit breakers and transformers, the application of image processing methods should be analyzed. It could encompass pattern recognition or edge identification methods.
  1. Control Algorithms for Renewable Energy Systems:
  • To improve energy storage and capture, consider the regulation of solar panels or wind turbines by analyzing efficient methods.
  1. Sensor Fusion Algorithms for Smart Home Energy Management:
  • As a means to enhance the automation and energy effectiveness of smart homes, integrate data from several sensors through exploring techniques.
  1. Battery Management Algorithms for Electric Vehicles:
  • With the aim of improving the effectiveness and durability of electric vehicle batteries, we explore methods for charge/discharge enhancement and battery condition assessment.
  1. Digital Signal Processing Algorithms for Noise Reduction:
  • In communication frameworks, minimize noise by investigating robust methods like wavelet transforms or adaptive filtering. This is specifically for signal quality enhancement.
  1. Optimization of Routing Algorithms for Wireless Sensor Networks:
  • To minimize energy usage and improve data transmission effectiveness in wireless sensor networks, the creation and enhancement of routing methods has to be examined.
  1. Predictive Maintenance Algorithms for Electrical Machinery:
  • Our project explores methods, which forecast and obstruct faults in electrical equipment by utilizing machine learning approaches and previous data.
  1. Control Algorithms for Microgrid Energy Storage Systems:
  • For handling energy distribution and storage in microgrids, we analyze methods. Enhancing credibility and effectiveness is the major consideration of this project.
  1. Real-Time Power Quality Monitoring Algorithms:
  • To track and examine power quality-based problems in actual-time, like harmonics, swells, and voltage drops, our project explores methods.
  1. Algorithmic Approaches to Load Forecasting in Power Systems:
  • In order to accomplish precise load prediction in electrical power frameworks, investigate different methods like machine learning and time series analysis.
  1. Algorithms for Efficient Wireless Power Transfer:
  • For wireless power transfer frameworks, the model and enhancement of methods have to be analyzed to enhance transfer distance and energy effectiveness.
  1. Design of Algorithms for Electric Grid Security:
  • In smart grids and other major frameworks, identify and reduce cybersecurity hazards by exploring methods.
  1. Signal Processing Algorithms for Biomedical Applications:
  • Particularly for processing biomedical signals like EEG or ECG, we investigate methods. Creation of non-invasive diagnostic tools is the significant concentration.
  1. Algorithmic Enhancements in Photovoltaic Systems:
  • To enhance the performance of photovoltaic solar panels, the methods for maximum power point tracking (MPPT) have to be studied.
  1. Fuzzy Logic Algorithms for Voltage Regulation in Power Systems:
  • In preserving a constant range of voltage in electrical power frameworks, the use of fuzzy logic techniques must be analyzed.
  1. Development of Algorithms for Energy Harvesting in IoT Devices:
  • Our project aims to explore methods, which expand the battery durability of IoT devices by improving energy harvesting approaches.
  1. Implementation of Algorithms for Grid-Connected Renewable Energy Systems:
  • For the combination of renewable energy sources with the major power grid effectively, we analyze methods. It could include energy sources like wind and solar.

Solar Tracking System MATLAB Simulink Thesis Topics

Solar Tracking System MATLAB Simulink Projects

A variety of Solar Tracking System MATLAB Simulink Projects can be found on this webpage, explore our innovative thesis topics. Our team is dedicated to assisting you with your Journal Manuscript service and ensuring a stress-free experience. Reach out to for efficient publication support.

  1. OpenComp3d: An open-source framework dedicated to design in power electronics
  2. A switchable high-speed fiber-optic ring net topology and its method of high-performance synchronization for large-capacity power electronics system
  3. A review on emerging negative capacitance field effect transistor for low power electronics
  4. FEM-based combined degradation model of wire bond and die-attach for lifetime estimation of power electronics
  5. Thermal modeling and comparative analysis of jet impingement liquid cooling for high power electronics
  6. Experimental study of a Capillary Pumped Loop for cooling power electronics: Response to high amplitude heat load steps
  7. Experimental investigation on enhanced flow and heat transfer performance of micro-jet impingement vapor chamber for high power electronics
  8. Optimal interface based on power electronics in distributed generation systems for fuel cells
  9. Reliability-oriented environmental thermal stress analysis of fuses in power electronic
  10. A reliable low cost power electronics interface for photovoltaic energy systems
  11. Analysis of the damping characteristics of two power electronics-based devices using ‘individual channel analysis and design’s
  12. Dynamic Modeling of a Cooling System for Power Electronics via Experimental Investigation
  13. A universal managing circuit with stabilized voltage for maintaining safe operation of self-powered electronics system
  14. Processing of nanocrystalline diamond thin films for thermal management of wide-bandgap semiconductor power electronics
  15. An assessment of recent multilevel inverter topologies with reduced power electronics components for renewable applications
  16. Control of transformerless grid-connected PV system using average models of power electronics converters with MATLAB/Simulink
  17. Silver nanoparticle-based thermal interface materials with ultra-low thermal resistance for power electronics applications
  18. Numerical simulations of nucleate boiling in impinging jets: Applications in power electronics cooling
  19. Frequency domain scanning acoustic microscopy for power electronics: Physics-based feature identification and selectivity
  20. Lifetime of power electronics interconnections in accelerated test conditions: High temperature storage and thermal cycling