PL-TOON Platform

A Low-Cost Experimental Platform for Vehicle Formation Control

PL-TOON (Programmable Low-cost Train platOON) is an innovative experimental platform designed for research and education in vehicle formation control and platooning.

Left: The complete PL-TOON experimental setup. Middle: Individual autonomous vehicles in formation. Right: Real-time control and monitoring interface.

Key Features

The platform provides a cost-effective solution for validating theoretical results in formation control, string stability, and multi-agent systems. It combines hardware and software components to create a flexible research environment.

Left: Platform demonstration during an experiment. Right: System architecture diagram showing the communication and control structure.

Hardware Components

  • Custom-designed chassis and track system
  • ESP32-based control units
  • Infrared sensors for position detection
  • Wireless communication modules
  • DC motors with encoders

Software Architecture

  • Arduino-compatible firmware
  • Python-based control interface
  • Real-time data visualization
  • Open-source codebase
Sample experimental results showing vehicle formation performance and string stability analysis.

Research Applications

The platform has been successfully used in various research projects:

  1. String Stability Analysis

    • Validation of theoretical stability conditions
    • Testing of different communication protocols
    • Performance evaluation under delays
  2. Formation Control

    • Implementation of various control strategies
    • Testing of adaptive algorithms
    • Validation of theoretical results
Different research applications of the PL-TOON platform, from basic formation control to complex multi-vehicle coordination.

Resources and Documentation

All platform resources are open-source and available through our GitHub repository. This includes:

  • Technical documentation
  • Setup guides
  • Example code
  • Research data
  • Educational materials

For more information about getting involved with the project, contact andres.peters@uai.cl.