EXPERT SYSTEMS AND SOLUTIONS

   Email:   expertsyssol@gmail.com

         Cell: +91-9952749533, +91-9345276362

         website: www.researchprojects.in

                  Chennai , Tamil Nadu, India

      We provide projects involving MATLAB Simulink models, MATLAB code, MATLAB examples, and MATLAB-based IEEE projects. Our expertise also includes embedded systems, knowledge base development, and identifying technical know-how. We specialize in industrial projects related to Electrical Engineering. Additionally, MATLAB simulation can be applied to areas such as electricity storage, batteries, power transmission, device drivers, digital I/O drivers, I2C serial bus drivers, pulse width modulation (PWM), and SPI drivers.

MATLAB Project Titles For M.E, M.S and Ph.D

     MATLAB and PSCAD tutorials available at 20USD per hour- Call +91-9952749533 

The MATLAB software, is developed and promoted by Maths Works Inc. is a software package for general-purpose numerical and scientific calculations. It can be used in almost in all fields of Science, Engineering and in any other field in which extensive mathematical simulation and visual interface are required. Using this, any physical system once modeled can be analyzed and the performance of the system can be computed. The response of the system in case of any change in the input or state can easily be analyzed. MATLAB offers excellent plotting features and graphics handling techniques (including three-dimensional plotting) so that the user can have a visual interface. MATLAB derives power from its built-in functions and mathematical for most common scientific and engineering systems.

         MATLAB Can be used for advanced mathematical functionalities, advanced system modeling,  Basic Electrical Circuit Analysis, Obtaining different characteristic plots for Control Systems, control systems, numerical methods, optimization and direct numerical  integration methods, Solving Power system static and dynamic problems,  and simulate intelligent systems. Listed herein are some project titles using MATLAB.

1. Firefly applications for Power systems

2. MATLAB based Soft computing in power systems

3. AI methods in power systems using MATLAB

4. PSO in power systems optimization

5. Economic Dispatch in Power Systems

6. Voltage stability Problems in Power Systems

7. Simulation of A.C drives using MATLAB

8. Vector control for A.C drives using MATLAB

9. Power Upgrading of Transmission Line by Combining AC/DC Transmission

10.  A Parallel-Connected Single Phase Power Factor Correction with Improved Efficiency

11.  Impact of Reactive Power in Power Evacuation from Wind Turbines

12.  A Novel Three-Phase to Five-Phase Transformation Using a Special Transformer Connection

13.   Direct Torque Control of 5-phase 10/8 Switched Reluctance Motor by Using Fuzzy 

14.  Direct Torque Control of a Three Phase Induction Motor using a Hybrid PI/Fuzzy  Controller using MATLAB

15.  Analysis and Implement of Thyristor-based STATCOM

16.  Reduced Rating VSC With a Zig-Zag Transformer for Current Compensation in a Three-Phase Four-Wire Distribution System

17.  MATLAB Based Simulation of TCSC FACTS Controller

18. Direct Torque Control of Induction Motor Using Space Vector Modulation (SVMDTC)

19. Eighteen-Pulse AC-DC Converter for Harmonic Mitigation in Vector Controlled Induction Motor Drives

20. SVPWM over modulation Scheme of Three-Level Inverters for Vector Controlled

21.  Space Vectors Modulation for Nine-Switch Converters using MATLAB

22.  Modeling and Simulation of BLDC motor in Electric Power Steering

23.  A Novel Method of Load Compensation under Unbalanced and Distorted Voltages

24.  DTC-SVM Scheme for Induction Motors Fed with a Three-level Inverter

25. A fuzzy logic controller for synchronous machine

26.  Scalar Control of Induction Motor  using MATLAB

    MATLAB training online   

Module 1: Introduction to MATLAB

• Overview of MATLAB Environment

  • Introduction to the MATLAB interface

  • Basic commands and functions

  • Variables, arrays, and data types

  • Workspace and command window management

• MATLAB Fundamentals

  • Creating and running scripts

  • Arithmetic operations and operators

  • Basic plotting and visualization tools

  • Handling input and output

Module 2: Programming in MATLAB

• Control Structures

  • If-else conditions

  • Switch-case statements

  • For loops, while loops

• Functions

  • Creating user-defined functions

  • Function inputs and outputs

  • Anonymous functions

  • Recursive functions

• Debugging and Code Optimization

  • Debugging tools in MATLAB

  • Error handling with try-catch

  • Code profiling and performance enhancement

Module 3: Data Handling and Visualization

• Data Import/Export

  • Importing data from Excel, CSV, and text files

  • Exporting data to different file formats

  • Working with MATLAB's built-in datasets

• Plotting and Visualization

  • 2D plotting (line, scatter, bar, histogram)

  • Advanced 3D plotting (surface, contour, mesh)

  • Customizing plots (titles, labels, legends, annotations)

  • Plotting multiple data series in a single figure

Module 4: MATLAB for Matrix Operations and Linear Algebra

• Matrix Creation and Manipulation

  • Creating matrices, accessing elements, slicing

  • Matrix arithmetic (addition, subtraction, multiplication)

  • Transpose, inverse, and determinant of matrices

• Linear Algebra with MATLAB

  • Solving linear equations (Ax = b)

  • Eigenvalues and eigenvectors

  • LU decomposition, SVD, QR factorization

Module 5: MATLAB for Signal Processing

• Introduction to Signal Processing

  • Time and frequency domain analysis

  • Basic signal generation (sinusoidal, square, triangular)

  • Sampling, aliasing, and quantization

• Digital Signal Processing (DSP)

  • Fourier transforms (FFT, DFT)

  • Filtering techniques (low-pass, high-pass, band-pass)

  • Noise reduction and signal smoothing

  • Spectral analysis and power spectrum estimation

Module 6: Simulink Basics

• Getting Started with Simulink

  • Introduction to Simulink environment

  • Creating Simulink models

  • Connecting blocks and creating sub-systems

  • Simulation settings and running simulations

• Simulink for System Modeling

  • Continuous and discrete systems

  • Working with transfer functions and state-space models

  • Integrators, differentiators, and gain blocks

  • Modeling and simulating dynamic systems

Module 7: Control Systems Design with MATLAB and Simulink

• Control System Analysis

  • Modeling control systems in MATLAB/Simulink

  • Time response and frequency response analysis

  • Stability analysis using Routh-Hurwitz and Nyquist criteria

  • Root locus, Bode plot, and Nyquist plot

• PID Control

  • Designing PID controllers

  • Tuning methods (Ziegler-Nichols)

  • Implementing controllers in Simulink

  • PID in practical applications

Module 8: Image Processing with MATLAB

• Image Acquisition and Preprocessing

  • Reading and writing images

  • Image enhancement (contrast adjustment, histogram equalization)

  • Noise removal (filtering techniques)

• Image Analysis

  • Edge detection (Sobel, Canny)

  • Morphological operations (dilation, erosion)

  • Object detection and image segmentation

Module 9: Machine Learning with MATLAB

• Introduction to Machine Learning

  • Overview of machine learning in MATLAB

  • Data preparation and feature extraction

  • Classification algorithms (k-NN, SVM, decision trees)

• Neural Networks

  • Basics of neural networks in MATLAB

  • Training neural networks

  • Deep learning basics and using pretrained models

Module 10: Advanced Topics in MATLAB

• Optimization Techniques

  • Linear and nonlinear optimization

  • Genetic algorithms and Simulated annealing

• Parallel Computing

  • Introduction to parallel computing

  • Using MATLAB's Parallel Computing Toolbox

• MATLAB for Hardware Interfacing

  • Interfacing MATLAB with Arduino, Raspberry Pi

  • Real-time data acquisition

Module 11: Project Work

• Final Project

  • Application of MATLAB for solving real-world problems

  • Building complete projects (control systems, signal processing, image processing, etc.)

  • Simulation and result analysis

  • Documentation and presentation