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Ball and Beam Balancing System with PID Control

This project builds the classic ball-and-beam control rig: a steel ball rolls on a pivoted aluminium beam, an ultrasonic sensor tracks the ball's position, and a PID loop drives a servo to tilt the beam and hold the ball at a setpoint. Students implement the controller on an Arduino, tune Kp, Ki and Kd experimentally, and document the tuning process with step-response plots — the complete feedback-control learning arc in one physical system. Suitable for B.E./B.Tech final-year projects in Mechanical and Mechatronics.

Ball and Beam Balancing System with PID Control — project thumbnail preview
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The problem

The ball and beam is the canonical teaching rig for feedback control because it is simple to see and hard to tame: the ball accelerates away from any tilt, so only a well-tuned controller can hold it still. Students of control theory usually meet PID as equations on a slide; this project makes it physical. An ultrasonic sensor measures the ball's position along the beam, an Arduino runs the PID loop, and a servo tilts the beam through a linkage arm to drive the ball toward the setpoint. The real learning is the tuning: starting from proportional-only oscillation, adding derivative to damp it, and discovering what integral does to steady-state error — each stage documented with response plots from the student's own rig. It is the rare project where the viva practically runs itself.

How it works

  1. The steel ball rests on the aluminium beam; the ultrasonic sensor at one end continuously measures the ball's distance (position).
  2. The Arduino reads the position, computes the error against the setpoint, and runs the PID calculation each control cycle.
  3. The PID output drives the servo, which tilts the beam through the linkage arm — tilting toward the ball to slow it, away to accelerate it back.
  4. With proportional control only, the ball oscillates; the student increases derivative gain to damp the oscillation.
  5. Integral gain is added to remove the steady-state offset, with anti-windup preventing overshoot after large disturbances.
  6. The tuned system holds the ball at the setpoint and recovers from a finger-tap disturbance — the standard live demo.
  7. Position data logged over serial produces step-response plots for the report, documenting each tuning stage quantitatively.

Tech stack:

  • Arduino Uno (PID controller)
  • Ultrasonic distance sensor
  • High-torque servo motor
  • Aluminium beam + pivot frame
  • Linkage arm mechanism
  • Serial data logging
  • 5–6 V servo power supply
  • PID tuning procedure
Parameter Value
Controller Arduino Uno (ATmega328P) — datasheet
Position sensor Ultrasonic, approximately 2–40 cm usable range (expected)
Actuator High-torque servo, approximately 10 kg·cm (datasheet class)
Beam Aluminium, approximately 60 cm (prototype)
Ball Steel, approximately 40 mm diameter (prototype)
Control rate Approximately 50 Hz loop (firmware, design)
Setpoint modes Hold, step change, sine track (firmware)
Power 5–6 V DC servo supply + USB/5 V logic (design)

Project features

  • [Full PID implementation] Position PID loop running on the Arduino with configurable Kp, Ki and Kd — the student tunes all three terms experimentally, not just in simulation.
  • [Ultrasonic ball tracking] An ultrasonic sensor at the beam end measures ball position continuously, demonstrating real sensor feedback with noise and dead zones.
  • [Servo-linkage actuation] A high-torque servo drives the beam through a mechanical linkage, showing how control signals become physical motion.
  • [Setpoint control modes] Hold-position, step-change and (firmware option) sine-tracking modes let the student demonstrate different control scenarios.
  • [Live tuning interface] PID gains adjustable via serial commands or potentiometers, so tuning iterations happen in seconds during the demo.
  • [Response plotting] Logged position-vs-time data exports for step-response plots — the evidence section of the report comes from the student's own rig.
  • [Anti-windup and filtering] Integral anti-windup and sensor filtering implemented in firmware, teaching the practical details textbooks gloss over.

What is included

  • Ball-and-beam rig (assembled: beam, pivot, servo, linkage, sensor)
  • Arduino controller (programmed with PID firmware)
  • Complete firmware source code with gain-adjustment interface
  • PID tuning procedure document (Ziegler-Nichols + manual method)
  • Wiring diagram and mechanical assembly guide
  • Data-logging guide for response plots
  • Project report PDF (background, control theory, tuning study, results)
  • PPT presentation for final review
  • Viva Q&A preparation document (PID terms, stability, tuning, anti-windup)

Limitations & prerequisites

  • The ultrasonic sensor has a dead zone and noise; position accuracy is approximately ±5 mm, which the report states honestly.
  • The rig balances one ball on one axis — it does not demonstrate multi-axis or nonlinear control beyond this plant.
  • Servo backlash and linkage play limit the achievable precision; the tuning guide works within these mechanical realities.
  • Aggressive gains cause oscillation or ball drop-off — the tuning procedure approaches stability conservatively by design.
  • Step-response figures in the report come from the student's own rig and tuning session, presented as measured-on-prototype.
  • The beam must be level-calibrated at setup; the procedure document covers this buyer-run step.

Frequently Asked Questions

How does the PID controller actually work here?

The ultrasonic sensor reports ball position; the Arduino computes the error from the setpoint and combines three terms — proportional (push harder when far), integral (remove persistent offset), derivative (damp oscillation) — into a servo command that tilts the beam every control cycle.

How do I tune the PID gains?

The included procedure starts with proportional-only to find oscillation, adds derivative to damp it, then adds integral for steady-state accuracy — with Ziegler-Nichols as the systematic alternative. Each stage is documented with plots from your own rig.

What does the demo look like?

The ball holds a setpoint on the beam; you tap it with a finger and watch it recover. Changing the setpoint shows a clean step response. It is one of the most visually convincing control demos.

Why an ultrasonic sensor instead of a camera?

It is robust, cheap and fast enough for the control loop, and its noise and dead zone teach real sensor limitations — which the report discusses as part of the engineering.

Can it track a moving setpoint?

Yes — the firmware includes a sine-tracking mode where the setpoint oscillates and the ball follows, demonstrating tracking performance beyond simple regulation.

Is this project suitable for a final-year project?

Yes — for Mechanical, Electrical and Electronics programs. It is the standard hands-on vehicle for feedback control, PID tuning and mechatronic integration. Suitable for B.E./B.Tech final-year projects in Mechanical, Electrical and Electronics.

Components & software requirements
  • Arduino Uno (PID controller)
  • Ultrasonic distance sensor
  • High-torque servo motor
  • Aluminium beam + pivot frame
  • Linkage arm mechanism
  • Serial data logging
  • 5–6 V servo power supply
  • PID tuning procedure
Delivery information

Built-to-order project. Delivery timeline is shared after order confirmation based on current queue.

Support terms

Complete documentation, setup guide, and viva preparation included. Support for setup and explanation provided.

Download abstract (PDF)

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