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Throttle Body Control Platform (TBCP)

Project Overview

The Electronic Throttle Body Control Platform (TBCP) is a custom real-time controller designed to test advanced control methods for electronic throttle bodies in automotive applications. This project aims to overcome the limitations of existing hardware solutions at Wintec and provide a reliable platform for experimenting with cutting-edge technologies such as adaptive tracking control.

Key Objectives

  • Create a reliable hardware platform for testing various control methods
  • Improve the response time of the electronic throttle body
  • Minimize signal error from the feedback sensor
  • Develop and simplify a comprehensive wiring diagram
  • Implement a control platform to enhance throttle body valve responsiveness and accuracy

Features

Hardware

  • Custom PCB design
  • H-bridge IC for motor control
  • Voltage regulator for stable power supply
  • Microcontroller selection for real-time control
  • User interface with LED indicators and buttons
  • Reversed voltage protection

Software

  • Simulink Real-Time Control for rapid testing and tuning
  • Signal calibration mode for improved system adaptability
  • Signal conditioning for input/output management
  • Multiple control modes (Proportional, PID, and ADRC Control)
  • Error detection function for monitoring voltage levels

Project Methodology

  • Analyze existing throttle control methods and technologies
  • Apply Scrum framework for project management
  • Implement control algorithms on common microcontroller platforms
  • Develop custom real-time controllers for advanced control methodologies
  • Employ data logging equipment for performance metrics
  • Conduct comparative analysis between simulation and practical testing
  • Ensure consistency in testing methods and equipment calibration

Data Collection

  • Relevant electrical parameters
  • Valve response time and signal propagation
  • Pedal input, valve feedback, and controller I/O values

Installation and Setup

See final report Appendix

Authors

  • Oliver Bell
  • Piyapat Srisawat

Academic Supervisor

  • Mohammad AI-Rawi

License

This project is licensed under the MIT License.

Acknowledgments

  • Wintec (Waikato Institute of Technology) for supporting this project

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