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A wide area power system model using PMUs is developed for monitoring. Protection is implemented using a slip-back neural control approach and an ANFIS network. The proposed scheme is tested under various operating conditions to demonstrate improved optimization and resilient protection performance.
Simulation of a single-phase full-bridge inverter using unipolar SPWM. The project models switching strategy, evaluates output waveforms and harmonic content, and demonstrates implementation in Simulink.
Models a doubly-fed induction generator (DFIG) driven by wind turbine and two back-to-back PWM converters with a common DC link. Full Simulink implementation examines control strategies and grid integration behavior.
Simulates long transmission line behavior to analyze parameters and waveforms at sending and receiving ends, supporting design studies for extra-high-voltage line models under practical conditions.
Evaluates VSC-HVDC performance during DC pole-to-pole faults using cascaded H-bridge cells. Control layers (modulator, capacitor balancing, current and power controllers) are implemented in MATLAB/Simulink with PI and fuzzy variants.
Studies composite AC-DC conductors carrying superimposed DC on AC. Simulink simulations assess feasibility of small power tapping for rural communities and analyze performance of mixed AC-DC transmission schemes.
Simulates a three-phase induction motor in MATLAB/Simulink to study effects of speed, torque, stator and rotor currents on dynamic performance and control responses.
Models a grid-connected SOFC system with one-cycle control in the inverter and active power filter. Simulink results show harmonic mitigation and power factor improvement for high DG penetration scenarios.
Compares SPWM, third-harmonic injection PWM (THIPWM) and space-vector PWM (SVPWM) for three-phase VSIs, analyzing implementation complexity and output harmonic spectra / THD using Simulink.
Develops a dynamic model of a seven-phase induction generator with converters and SRF-PLL synchronization. Simulink tests demonstrate fault tolerance and performance across varying wind speeds.
Builds a multi-transducer stethoscope array with digitization and beamforming in MATLAB. Characterization, calibration and heart sound (S1/S2) enhancement techniques are presented for diagnostic imaging support.
Covers design of custom electronics, wireless real-time control software and a GUI for a vacuum-adhesion wall-climbing robot, with subsystem testing and performance evaluation in MATLAB/Simulink.
Presents MATLAB models for three-phase symmetrical and unsymmetrical fault analysis, showing impacts on voltages, currents and positive/negative/zero sequence components with waveform outputs.
Develops an automated system for soil moisture, temperature, humidity and nutrient monitoring with PID control, remote monitoring and MATLAB/NI LabVIEW integration for enclosed agriculture.
Implements Id-Iq based shunt active filter control and synchronous detection algorithms in Simulink to compensate harmonics and reactive power in unbalanced three-phase networks using PI controllers.
Models a practical grid (case study: Nigerian National Grid) to study voltage collapse, islanding and transient stability under fault scenarios using Simulink steady-state and dynamic simulations.
Describes a simulation framework for SMIB systems and extensible methods to include multiple synchronous/asynchronous machines, FACTS devices and dynamic loads for stability studies.
Builds a Simulink model to simulate bicycle dynamics and rider cadence strategies for training scenarios such as hill climbing.
Implements gesture or motion-based wallpaper control in MATLAB, combining image handling and control functions to navigate slides.
In today\\\'s rapidly advancing era of automation, robotics control systems are
Learn MoreThe financial sector is witnessing a technological revolution with the rise of Large Lang
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In today\\\'s rapidly advancing era of automation, robotics control systems are evolving to meet the demand for smarter, faster, and more reliable performance. Among the many innovations driving this transformation is the use of MCP (Model-based Control Paradigms)
The financial sector is witnessing a technological revolution with the rise of Large Language Models (LLMs). Traditionally used for text analysis, LLMs are now being integrated with powerful platforms like MATLAB to develop financial forecasting models