Data Acquisition and Experimental Analysis with Python and Graphical User Interface
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Updated
Jun 8, 2026 - Python
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.
A Python library for transient response analysis and optimization of ultrasound transducers using the Butterworth-Van Dyke (BVD) equivalent circuit model.
Academic Projects done using Matlab to control and optimizate a DC motor
Ferramenta para análise de sistemas de controle: estabilidade (Routh-Hurwitz), LGR, sistemas de 2a ordem e projeto de controladores PI, PD e PID.
Interactive web-based simulators for control systems engineering: first-order and second-order step response, pole-zero map, and PID controller. No installation required; runs entirely in the browser.
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.
Some Control Codes
Dynamic characteristics of 2nd order instruments
System identification project for DC motors using step response analysis (75 RPM setpoint) and EO algorithm to estimate discrete transfer functions for control design.
Stable and efficient PID controller in C with anti-windup, derivative filtering, and simulated plant response for step input tracking.
Code for my controls class
Control Systems Lab in MATLAB — transfer functions, step response, Bode plots, root locus, PID design, Nyquist, and Laplace transforms
An interactive web-based tool for analyzing and visualizing control system responses. Built to help students understand fundamental control system concepts through visual demonstrations.
Signals and Systems portfolio covering MATLAB modelling, FFT analysis, probability distributions, radioactive decay, LTI responses, reports, and reflections.
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.
Analiza odpowiedzi układu dynamicznego to projekt mający na celu rozwój narzędzi i technik do analizy odpowiedzi układów dynamicznych.
PID control design and simulation for a Mass-Spring-Damper system using MATLAB & Simulink with performance analysis.
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