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PID Ball Balancer Using Raspberry Pi

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Aayan Patil

Project Timeline

Dec 2025 - Dec-2025

OVERVIEW

This project involved the design and implementation of a closed-loop control system capable of balancing a ball at the center of a beam using real-time sensor feedback. A Raspberry Pi was used to process distance measurements from an ultrasonic sensor and adjust the beam angle through a servo motor using a PID control algorithm. The system was built using low-cost, easily accessible components, including LEGO-based structural elements, to focus on learning core principles of control systems, embedded programming, and hardware–software integration. Significant effort was spent tuning the PID parameters and troubleshooting hardware limitations to achieve stable and reliable performance. Through this project, practical experience was gained in control system implementation, electromechanical prototyping, and iterative debugging in a real-world engineering context.

HighlightS

Designed and built a functional PID-controlled ball balancing system using low-cost, accessible materials


Implemented a closed-loop control algorithm in Python to stabilize a ball at a target position in real time


Integrated hardware and software using a Raspberry Pi, ultrasonic sensor, and servo motor


Successfully tuned PID parameters to reduce oscillations and achieve stable system behavior


Troubleshot and resolved hardware–software compatibility issues through iterative testing and debugging


Demonstrated practical application of control systems, embedded programming, and electromechanical integration

SKILLS

PID Control SystemsPython ProgrammingRaspberry PiEmbedded SystemsHardware–Software IntegrationSensor Interfacing (Ultrasonic Sensors)Servo Motor ControlControl System TuningElectronics PrototypingDebugging & TroubleshootingRapid PrototypingSystems Thinking

Additional Details

Objective:

Design and implement a closed-loop control system that autonomously balances a ball at the center of a beam using real-time sensor feedback.

Hardware:

  • Raspberry Pi Model B+

  • HC-SR04 Ultrasonic Distance Sensor

  • Servo Motor

  • Breadboard and GPIO Extension Board

  • Resistors and Jumper Wires

  • LEGO-based structural components


Software:

  • Python

  • Thonny Python IDE

  • Raspberry Pi GPIO libraries


Control Method:

A PID (Proportional–Integral–Derivative) controller was used to calculate the error between the measured ball position and the desired center position and adjust the beam angle accordingly. PID parameters were tuned iteratively to achieve stable and responsive system behavior.


Key Challenges:

  • Tuning PID gains to minimize oscillations and overshoot

  • Synchronizing software performance with hardware timing limitations

  • Debugging sensor noise, wiring issues, and mechanical alignment

  • Integrating software logic with physical system constraints


Outcome:

The final system successfully balances a ball at the center of the beam from varying starting positions, demonstrating effective closed-loop control, hardware–software integration, and iterative engineering problem-solving.


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