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The objective of this project is to investigate electrical and software methods to support a novel vacuum adhesion system for a wall-climbing robot. It covers the design and implementation of custom electronics and a wirelessly controlled real-time software system, plus testing and evaluation of subsystem and overall system performance.
This study applies modern control methods to solve the load frequency control (LFC) problem in a two-area interconnected power system including a photovoltaic plant. A GA-tuned fuzzy logic controller (GA-FL) is proposed and compared to PID, FL and GA-PID controllers. Simulations in MATLAB/Simulink show reduced overshoot and faster settling with the GA-FL approach.
This project describes the design and implementation of a real-time MATLAB interface for speed control of an induction motor using dsPIC30F4011. It uses field-oriented control to adjust motor speed by regulating stator voltage and frequency, maintaining a constant V/f ratio for high-performance drive control.
The paper proposes a decentralized method for nonlinear control of oscillatory dynamics in power systems, applicable to transient and small-signal stability. An optimal control law is derived within the framework of nonlinear control using normal forms, and validated on detailed system models.
Fuel cell powered vehicles offer high efficiency and hydrogen fuel use, but suffer from slow dynamics and high cost. This project explores hybridization with supercapacitors to improve dynamic response and system performance.
Develop a dead-reckoning navigation system using accelerometer and magnetometer sensors (and optionally gyros). The project investigates methods for positioning and movement analysis using sensor fusion and MATLAB algorithms.
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