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A seamless integration of an Arduino-driven PID control system with a Python-based real-time graphing interface. Adjust PID parameters and setpoints dynamically, monitor feedback loops, and manage system performance all in one place.

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Atrabilis/Interactive_PID_Controller

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Real-Time PID Controller and Graphical Interface

This repository contains a real-time control system for a PID (Proportional, Integral, Derivative) controller with a graphical user interface (GUI). The system leverages an Arduino-based hardware setup for process control and a Python application using PyQt5 and pyqtgraph for visualization and interaction.

Key Features:

  • PID Control: Fine-tune your system with real-time PID parameter adjustments.
  • Serial Communication: Communicates with Arduino over a serial connection to apply control commands and read sensor data.
  • Graphical Visualization: Real-time plotting of system variables such as target vs. actual position, error values, and PID contributions.
  • User Interaction: Update target values and PID parameters on-the-fly through an intuitive GUI.
  • Anti-Windup Handling: Toggle anti-windup feature from the interface to prevent integral term saturation.

Ideal for educational purposes, hobbyists, or as a starting point for more complex control systems.

Scheme

The scheme of the project is shown below:

Scheme

in this case a L298N is utilized but any motor controler is enough.

Materials

For this project in specific, the materials utilized are shown below:

  • Arduino 1
  • L298N
  • USB B cable
  • DC motor with encoder (model unknown)
  • Breadboard

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A seamless integration of an Arduino-driven PID control system with a Python-based real-time graphing interface. Adjust PID parameters and setpoints dynamically, monitor feedback loops, and manage system performance all in one place.

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