Data Acquisition and Experimental Analysis with Python and Graphical User Interface
DC-Motor analysis, transfer function is given.
Academic project done to control and optimize an inverted pendulum
This module is dedicated for calculating different Step response analysis factors like Peak time, Rise time, Settling time, Steady-state value, Overshoot percentage of a specified system.
Academic Projects done using Matlab to control and optimizate a DC motor
A Python library for transient response analysis and optimization of ultrasound transducers using the Butterworth-Van Dyke (BVD) equivalent circuit model.
Ferramenta para análise de sistemas de controle: estabilidade (Routh-Hurwitz), LGR, sistemas de 2ª ordem e projeto de controladores PI, PD e PID.
Some Control Codes
Dynamic characteristics of 2nd order instruments
Code for my controls class
Python and MATLAB codebase for performing second-order system identification from time-domain data of a systems dynamic response to a decreasing step input function.
An interactive web-based tool for analyzing and visualizing control system responses. Built to help students understand fundamental control system concepts through visual demonstrations.
Stable and efficient PID controller in C with anti-windup, derivative filtering, and simulated plant response for step input tracking.
An interactive web-based tool for analyzing and visualizing control system responses. Built to help students understand fundamental control system concepts through visual demonstrations.
Analiza odpowiedzi układu dynamicznego to projekt mający na celu rozwój narzędzi i technik do analizy odpowiedzi układów dynamicznych.
Desktop block-diagram control systems app in Python with a NodeGraphQt canvas, editable block parameters, closed-loop transfer function analysis, Bode plots, and step response visualization.
System identification project for DC motors using step response analysis (75 RPM setpoint) and EO algorithm to estimate discrete transfer functions for control design.
PID control design and simulation for a Mass-Spring-Damper system using MATLAB & Simulink with performance analysis.
Python implementation of the Matlab Pulse Transitions Library. Useful for step responses, control systems analysis, risetime, overshoot, undershoot, settling time, etc.
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