Electrical Machines MATLAB Projects - MATLAB Solutions

A wave-shaped mask for fabricating a nano-scale structure is disclosed. The wave-shaped mask comprises an elastomeric transparent substrate having an upper surface and a lower surface, and a light-penetrable thin film layer disposed on the upper surface of the elastomeric transparent substrate.

• Problem & Objective: Model optical wave interference and lithographic intensity distribution through periodic wave-shaped masks to optimize nano-scale fabrication precision.
• Key MATLAB Functions: pdepe, fft2, mesh, fcontour
• Expected Output/Metrics: 2D/3D wave intensity profiles, diffraction efficiency (>88%), and feature pitch resolution analysis.

Proposes earth fault localization using synchronized power quality measurement data recorded on the low-voltage side of MV/LV distribution transformers in compensated neutral networks.

• Problem & Objective: Detect and pin-point single phase-to-ground faults in compensated distribution networks by analyzing voltage sags at secondary transformer terminals.
• Key MATLAB Functions: power_analyze, fft, hilbert, sim
• Expected Output/Metrics: Fault distance estimation accuracy within ±200 meters, voltage sag magnitude vs. distance curves, and impedance estimation error < 3%.

Accurate measurement and estimation of HVDC converter station power losses operating high-frequency IGBT switches to support bid evaluations and carbon emission reductions.

• Problem & Objective: Quantify switching and conduction losses in high-voltage IGBT converter stations under high switching frequencies to satisfy stringent metrological standards.
• Key MATLAB Functions: power_sweepsens, thd, trapz, simscape.multibody
• Expected Output/Metrics: Total converter loss breakdown (conduction vs switching), measurement uncertainty < 0.5%, and THD spectrum up to 50 kHz.

Comprehensive simulation study across 42 drivetrain case studies evaluating efficiency, fuel consumption, and battery state-of-charge dynamics in series-parallel hybrid electric vehicles.

• Problem & Objective: Evaluate vehicle drive cycle energy efficiency and energy management strategies across varying road conditions and acceleration demands.
• Key MATLAB Functions: autoblkssimplehev, sim, trapz, plot
• Expected Output/Metrics: Fuel economy (MPG/L per 100km), battery SOC trajectory plots, motor efficiency map (>92% sweet spot), and torque-speed tracking curves.

Investigates relationships between DC motor speed, strain torque, and armature voltage levels in open-loop and closed-loop feedback control architectures.

• Problem & Objective: Derive transfer function models of armature-controlled DC motors and design PID speed controllers for transient and steady-state stability.
• Key MATLAB Functions: tf, step, pidtune, rlocus, bode
• Expected Output/Metrics: Settling time < 0.5 sec, overshoot < 5%, zero steady-state error, and torque-speed characteristic curves across armature voltages (12V–36V).

Analytical and SIMULINK loss calculations comparing transformer core and copper losses under linear loads versus non-linear harmonic load current profiles.

• Problem & Objective: Quantify additional eddy current and stray losses in distribution transformers caused by non-linear loads and harmonic distortion.
• Key MATLAB Functions: power_fftscope, thd, power_loadflow, sim
• Expected Output/Metrics: K-factor loss multiplication factors, THD vs total loss curves, temperature rise prediction, and efficiency reduction percentage.

Develops a dynamic model of a seven-phase induction generator driven by a wind turbine with power electronic converters and Synchronous Reference Frame (SRFPLL) grid synchronization.

• Problem & Objective: Model multiphase (7-phase) wind power generation and implement SRF-PLL for seamless grid connection under grid voltage fluctuations.
• Key MATLAB Functions: power_multiphase, srfpll, park, clarke, sim
• Expected Output/Metrics: Grid voltage-current phase synchronization within 20 ms, THD < 2.5%, and fault ride-through transient response waveforms.

Dynamic modeling of stationary PEM fuel cell systems considering fuel processor (ATR), PEM stack, coolant flow, humidification, and enthalpy wheel heat exchangers.

• Problem & Objective: Simulate electrochemical kinetics, thermal management, and transient electrical response of PEM fuel cell systems under load variations.
• Key MATLAB Functions: simscape.library, ode45, interp1, plot
• Expected Output/Metrics: Polarisation V-I and P-I curves, stack temperature response curves, fuel utilization efficiency (>60%), and voltage recovery times.

Sample MATLAB Implementation: DC Motor Speed vs Torque Characteristics

Simulating DC motor torque-speed curve under varying armature voltages:

% DC Motor Constants
Ra = 2.0;       % Armature Resistance (Ohm)
Kt = 0.1;       % Torque Constant (Nm/A)
Ke = 0.1;       % Voltage Constant (V/rad/s)
Va_vec = [12, 24, 36]; % Armature Voltages (V)

w = 0:1:350; % Angular Speed (rad/s)
figure; hold on;
for Va = Va_vec
    Ia = (Va - Ke * w) / Ra;
    Torque = Kt * Ia;
    plot(w * 30/pi, Torque, 'LineWidth', 1.5);
end
xlabel('Speed (RPM)'); ylabel('Torque (Nm)');
title('DC Motor Speed vs Torque Curves');
legend('Va = 12V', 'Va = 24V', 'Va = 36V'); grid on;

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