MATLAB / Simulink Projects | easywaysimu Engineering

Tsunami Modelling Case Study

HVDC Transmission & Cycloconverter Simulation HVDC Project Section

The MATLAB/Simulink content is presented as one selectable project within the expanded MATLAB portfolio.

Step 01

Inverter & Control Circuit Modeling

The HVDC transmission system is constructed within MATLAB/Simulink using Simscape components. The inverter uses MOSFET switching and SPWM control to convert rectified DC into stable AC while filtering switching harmonics.

Step 02

Cycloconverter with DC Link Integration

A high-power cycloconverter uses two full-bridge converter groups with IGBT switches. Alternating between the positive and negative groups reduces circulating currents and supports efficient frequency conversion.

Step 03

Transient Fault Injection

SLG and DLG short-circuit cases are injected at source and load locations using Simscape fault blocks to evaluate grid reliability under severe disturbances.

Step 04

Voltage Waveform & Harmonics Analysis

The model extracts three-phase output voltages under normal operating conditions and shows the PWM-driven switching behavior of the cycloconverter waveform.

Step 05

System Stability Under SLG Fault

During a source-side SLG fault, the affected phase collapses while healthy phases show transient rise, allowing stability and mitigation behavior to be evaluated.

Control Systems Case Study

Three-Tank Liquid-Level Control Fuzzy PID Optimisation

A MATLAB/Simulink control study for a three-tank liquid-level process, comparing conventional PID behavior with fuzzy-logic based tuning and response optimization.

Step 01

Process and Interaction Model

The plant is represented as a coupled three-tank system where pump inputs, tank levels and connecting flows determine transient liquid-level response.

Step 02

Fuzzy PID Control Structure

A fuzzy-PID controller is built around proportional, integral and derivative actions, allowing the controller gains to adapt through rule-based inference.

Step 03

Dynamic Response Evaluation

Non-interacting and interacting system responses are simulated to compare overshoot, settling behavior and tracking quality.

Step 04

Controller Surface Inspection

The fuzzy inference surface is inspected to understand how input error and error change map to corrective control action.

Control Modelling Case Study

Optical Wireless Communication Channel BER and Atmospheric Modelling

A MATLAB/Simulink communication-channel model for optical wireless and free-space optical links, including fading, atmospheric turbulence and bit-error-rate performance.

Step 01

Channel Architecture

The optical link is represented through transmitter, atmospheric channel, noise/fading and receiver blocks for end-to-end performance evaluation.

Step 02

Simulink Implementation

The system-level Simulink model connects the signal source, modulation, optical channel and receiver analysis blocks to support numerical testing.

Step 03

Theoretical BER Benchmark

Baseline bit-error-rate curves are used to verify expected system behavior before atmospheric impairments are introduced.

Step 04

Atmospheric Turbulence Impact

BER curves under atmospheric channel conditions are compared to show how turbulence and fading degrade link reliability.

Renewable System Modelling Case Study

DC Motor Speed Control PID, Fuzzy Logic and Soft Computing

A combined DC motor speed-control section using the MATLAB reports on PID, fuzzy logic and soft-computing optimisation for improved tracking and disturbance response.

Step 01

Controller Architecture

The control loop combines motor dynamics, feedback and PID/fuzzy compensation to regulate shaft speed against a target reference.

Step 02

Fuzzy Inference Setup

MATLAB fuzzy tools define membership functions and rules that adapt control action based on speed error and error change.

Step 03

Speed-Response Analysis

Step-response plots are used to compare rise time, overshoot, settling behavior and steady-state tracking under tuned control.

Step 04

Soft-Computing Extension

Additional soft-computing based tuning is used to evaluate more robust speed responses for nonlinear or uncertain motor behavior.

Wind Turbine Modelling Case Study

DC-DC Buck Converter Open-Loop and Closed-Loop Simulink Design

A Simulink coursework model for synchronous step-down buck conversion, comparing open-loop switching behavior with closed-loop voltage regulation.

Step 01

Open-Loop Converter Model

The first model represents the step-down converter topology and switching structure without feedback regulation.

Step 02

Closed-Loop Control Model

A feedback controller is added to improve output-voltage regulation under duty-cycle and load changes.

Step 03

Output Response

Time-domain output plots confirm whether the converter reaches the target voltage with acceptable ripple and transient response.

Step 04

Regulation Verification

Final response checks compare regulation behavior and transient settling to validate the closed-loop design.

Control Coursework Case Study

Power-System Load Flow and Fault Studies MATLAB Network Simulation

A MATLAB/Simulink power-system study covering single-line network models, busbar connections, transformer loading and waveform analysis under operating events.

Step 01

Single-Line Network Model

The electrical network is constructed as a MATLAB model with sources, busbars, transformers and transmission components.

Step 02

Waveform Observation

Voltage and current traces are extracted to observe network behavior under switching or disturbance cases.

Step 03

System Block Integration

The Simulink block model joins the power components and measurement outputs for complete system-level simulation.

Step 04

Load-Curve Assessment

Daily load behavior and transformer duty are evaluated to connect simulation results with practical loading decisions.

Digital Communications Case Study

Digital Communication System Modelling Speech, M-PSK and Eye Diagrams

A MATLAB/Simulink communications workflow covering speech digitisation, quantisation, modulation constellations, BER curves and pulse-shaping eye diagrams.

Step 01

Speech Digitisation Model

The Simulink model converts speech into a sampled and quantised signal chain for digital transmission testing.

Step 02

Constellation Analysis

Signal constellations visualize modulation quality, symbol separation and the impact of channel impairments.

Step 03

BER Performance Curves

Bit-error-rate plots compare performance across modulation orders and signal-to-noise ratios.

Step 04

Eye Diagram Inspection

Eye diagrams reveal timing margin, inter-symbol interference and pulse-shaping quality in the received waveform.

Final Project Case Study

Solar Tracker Control PID vs Fuzzy Logic

A comparative MATLAB/Simulink study of PID and fuzzy-logic control for a single-axis photovoltaic solar tracker following the sun elevation angle.

Step 01

Tracking Control Loop

The system models a control loop that moves the panel toward the desired sun angle using feedback from the tracker position.

Step 02

PV and Motor Plant

The Simulink plant combines solar-tracking mechanics, motor actuation and control blocks for dynamic simulation.

Step 03

Fuzzy Membership Design

Membership functions define linguistic regions for error and control output in the fuzzy tracker controller.

Step 04

Angle Tracking Response

Time-domain response plots show how closely the panel follows the commanded tracking angle.

Final Report Case Study

ECG Signal Classification CWT and SVM Machine Learning

A MATLAB machine-learning workflow for classifying ECG signals between CHF and NSR classes using continuous wavelet transform features and support-vector machines.

Step 01

Classification Pipeline

The pipeline moves from ECG signal input through pre-processing, feature extraction, model training and performance evaluation.

Step 02

Confusion Matrix Evaluation

The confusion matrix summarizes correct and incorrect predictions across the ECG signal classes.

Step 03

CWT Feature Extraction

Wavelet scalograms capture time-frequency patterns that help distinguish normal rhythm from CHF-related patterns.

Step 04

Signal Component Review

ECG component plots support interpretation of the key waveform intervals used in diagnostic feature analysis.

Project Development Case Study

Hybrid PV-Wind Microgrid Grid-Connected Renewable Simulation

A MATLAB/Simulink model of a renewable hybrid power system combining photovoltaic generation, wind energy, converters, grid interface and operating-event analysis.

Step 01

Hybrid System Architecture

The proposed architecture integrates PV and wind sources with converter stages and grid/load connection.

Step 02

Simulink Implementation

The Simulink model links renewable generators, control circuits, converter blocks and measurement scopes.

Step 03

Operational Waveforms

Results are used to observe power, voltage and current response during normal renewable generation.

Step 04

Grid Waveform Response

Three-phase grid-side voltage and current traces show stability and power-quality behavior at the interface.

Project draft (240926717).docx

Hybrid PV Solar and Fuel-Cell System MPPT and Converter Control

A MATLAB/Simulink renewable-energy model combining photovoltaic arrays, fuel-cell support, DC-DC conversion and MPPT-based control.

Step 01

Hybrid Energy Topology

The topology combines a PV source and fuel-cell branch with converter and control stages to support a common load.

Step 02

Simulink Model Assembly

The Simulink implementation connects PV, fuel-cell, MPPT and converter control subsystems.

Step 03

Output Response

Simulation traces show how the hybrid system responds to operating changes and load demands.

Step 04

Voltage Behavior

Voltage-result plots are used to verify converter regulation and hybrid-source stability.

Final Project Report Case Study

Lattice-Boltzmann Fire Engineering OpenLB and MATLAB Comparison

A numerical fire-engineering project using the Lattice Boltzmann Method to study smoke/thermal fields, compare OpenLB results and support MATLAB-based validation plots.

Step 01

Fire Scenario Validation

Simulation visuals compare fire/smoke behavior and thermal distributions for the modeled fire-engineering case.

Step 02

Thermal Field Output

OpenLB field results visualize temperature or scalar distribution produced by the LBM solver.

Step 03

Flame Structure Visualisation

The flame/thermal field view highlights buoyant plume structure and hot-region development.

Step 04

MATLAB Comparison Plot

MATLAB plots compare numerical behavior and help evaluate the feasibility of the LBM approach.

Thesis Modelling Case Study

Probabilistic Seismic Response Fragility Surfaces and Monte Carlo Logic

A MATLAB-supported probabilistic seismic analysis workflow using structural response modelling, fragility curves and 3D fragility surfaces for uncertainty-aware assessment.

Step 01

Structural Mode Behaviour

Mode-shape diagrams establish how the structural model responds dynamically to earthquake excitation.

Step 02

Probabilistic Workflow

The analysis workflow links seismic inputs, model uncertainty, response calculation and fragility estimation.

Step 03

Fragility Surface Output

3D fragility surfaces show probability of exceeding damage states as intensity and response parameters vary.

Step 04

Fragility Curve Review

Curves provide a compact view of exceedance probability across changing earthquake intensity.

MATLAB Coastal Mitigation Model

Vegetation for Tsunami Protection Study

This updated tsunami section preserves the original MATLAB code workflow and interactive 3D wave visualisation, then expands it with the C724 vegetation-protection report: tsunami hazard definition, coastal vegetation parameters, MATLAB wave-profile plots and absorbed-energy comparisons for four vegetation types.

4

Vegetation Types

5000 m

Belt Width

7.5 × 10²¹ J

Best Absorption

P. odoratissimus

Best Candidate

Vegetation protection before and after tsunami mitigation scenario

Step 01

Tsunami Hazard and Natural Mitigation

The report frames tsunami waves as high-energy coastal hazards generated by earthquakes, volcanic activity or underwater disturbances. Natural mitigation is represented through coastal forests and mangrove-style vegetation zones that dissipate wave energy before it reaches inland infrastructure.

Coastal vegetation protection against tsunami waves

Step 02

MATLAB Script Workflow

The tsunami_modelling.m workflow documents the script initialisation, shallow-water wave-equation concept and Crank-Nicolson style numerical workflow used to describe tsunami elevation propagation over a computational grid.

Step 03

MATLAB 3D Wave-Profile Visualisation

The C724 report includes MATLAB-generated three-dimensional tsunami profiles. These plots show the surface disturbance, ring-shaped expansion, dynamic wave deformation and shoreline-facing propagation used before evaluating the vegetation response.

Vegetation characteristics versus tsunami height

Tree diameter and spacing relationship to tsunami height

Step 04

Vegetation Parameters and Model Inputs

The mathematical model compares four vegetation types using drag coefficient, tree diameter and tree density. These values are kept visible so the MATLAB results connect directly to the model inputs.

Vegetation	Cd-all	d (cm)	n/m²
C. equisetifolia	1.25	20	0.247
R. apiculata	2.45	13	0.104
C. nucifera	1.10	35	0.215
P. odoratissimus	3.21	16	0.403

Step 05

Energy Absorption Results

Velocity, acceleration and absorbed-energy profiles were plotted in MATLAB for each selected vegetation type. The plots compare how much tsunami energy is dissipated by the vegetation belt over the simulated time range.

Energy absorbed by Casuarina equisetifolia

Energy absorbed by Pandanus odoratissimus

Step 06

Comparison and Best Vegetation Type

The comparison shows that P. odoratissimus absorbs the highest amount of tsunami energy, approximately 7.5 × 10²¹ J, making it the strongest candidate in this study for vegetation-based tsunami mitigation.

C. equisetifolia

0.8 × 10²¹ J

R. apiculata

2 × 10²⁰ J

C. nucifera

1.6 × 10²¹ J

P. odoratissimus

7.5 × 10²¹ J

Comparison between all vegetation types in terms of energy absorbed

Wave height across the shore with tree structure

Step 07

Interactive 3D Tsunami View

The interactive Plotly surface supports quick interpretation of crest-trough motion, wave spreading and spatial wave-elevation behaviour over the computational grid.

3D Surface

Wave Elevation Over Space

Interactive View

MATLAB / Simulink Engineering Projects

HVDC Workflow

Three-tank process

OWC channel model

PID-fuzzy motor control

Buck converter model

Power network model

Digital communications workflow

Solar tracker control

ECG ML workflow

Hybrid renewable system

PV/fuel-cell topology

LBM fire validation

Seismic fragility surface

MATLAB vegetation mitigation

HVDC Transmission & Cycloconverter Simulation HVDC Project Section

Inverter & Control Circuit Modeling

Cycloconverter with DC Link Integration

Transient Fault Injection

Voltage Waveform & Harmonics Analysis

System Stability Under SLG Fault

Three-Tank Liquid-Level Control Fuzzy PID Optimisation

Process and Interaction Model

Fuzzy PID Control Structure

Dynamic Response Evaluation

Controller Surface Inspection

Optical Wireless Communication Channel BER and Atmospheric Modelling

Channel Architecture

Simulink Implementation

Theoretical BER Benchmark

Atmospheric Turbulence Impact

DC Motor Speed Control PID, Fuzzy Logic and Soft Computing

Controller Architecture

Fuzzy Inference Setup

Speed-Response Analysis

Soft-Computing Extension

DC-DC Buck Converter Open-Loop and Closed-Loop Simulink Design

Open-Loop Converter Model

Closed-Loop Control Model

Output Response

Regulation Verification

Power-System Load Flow and Fault Studies MATLAB Network Simulation

Single-Line Network Model

Waveform Observation

System Block Integration

Load-Curve Assessment

Digital Communication System Modelling Speech, M-PSK and Eye Diagrams

Speech Digitisation Model

Constellation Analysis

BER Performance Curves

Eye Diagram Inspection

Solar Tracker Control PID vs Fuzzy Logic

Tracking Control Loop

PV and Motor Plant

Fuzzy Membership Design

Angle Tracking Response

ECG Signal Classification CWT and SVM Machine Learning

Classification Pipeline

Confusion Matrix Evaluation

CWT Feature Extraction

Signal Component Review

Hybrid PV-Wind Microgrid Grid-Connected Renewable Simulation

Hybrid System Architecture

Simulink Implementation

Operational Waveforms

Grid Waveform Response

Hybrid PV Solar and Fuel-Cell System MPPT and Converter Control

Hybrid Energy Topology

Simulink Model Assembly

Output Response

Voltage Behavior

Lattice-Boltzmann Fire Engineering OpenLB and MATLAB Comparison

Fire Scenario Validation

Thermal Field Output

Flame Structure Visualisation

MATLAB Comparison Plot

Probabilistic Seismic Response Fragility Surfaces and Monte Carlo Logic

Structural Mode Behaviour

Probabilistic Workflow

Fragility Surface Output