👉 Self-Balancing Robot built using Arduino UNO, MPU6050 gyroscope, and PID control strategy. The two-wheeled robot balances itself autonomously, making it an ideal project for final year engineering students, robotics enthusiasts, and DIY makers.
PID [ Proportional-Integral-Derivative ] Controlled Self Balancing Robot | Arduino Robotics DIY
Bluetooth Controlled Self Balancing Robot | Arduino Robotics
The MPU6050 captures real-time tilt angle data, which the Arduino processes with a PID algorithm to calculate corrections. The corrections are applied via a DRV8825 Stepper Motor Driver , keeping the robot upright. By fine-tuning PID constants, the robot can achieve precise and stable balance, even under disturbances.
Build a Self-Balancing Robot using Arduino UNO, MPU6050, and PID control. Perfect final-year project for engineering students with full documentation, circuit diagrams, Arduino code, and training support.
✔️ Self-Balancing on Two Wheels
✔️ PID Controlled for Stability & Precision
✔️ Expandable with Bluetooth, IoT, or Obstacle Avoidance
✔️ DIY Student-Friendly Assembly
✔️ Demonstrates Real-Time Control Systems
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Capstone, Major project, Final Year Project for CSE, EEE, ECE, Mechanical, Science Students.
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🏷️ To Buy / Make this Project with Training
🎓 Ashish Sharma
M.Tech, B.Tech (ECE)
🚀 Researcher | Lecturer | Drone Expert
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Award-Winning Project : Best for Major, Capstone, or Exhibition Project (Highly Recommended).
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🎨 No Branding – Project looks Student-Made, not Commercial.
🔖What’s Included When You Order this Project Kit !
💯 Fully Assembled & Working Project
📘 Synopsis, Reports, PPT etc.
📐 Diagrams – Circuit & Block Diagrams
💻 Arduino Code + Training
⚙️ Working Principle Explained
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⚙️ Components Required
1. Arduino UNO (Main Controller)
2.MPU6050 Gyroscope + Accelerometer
3.DRV8825 Stepper Motor Driver
4. 2 × Stepper with Wheels
5. Li-ion / Li-Po Rechargeable Battery Pack
6. Bluetooth Module (HC-05) – optional for mobile control
7. Chassis & Castor Wheel
8. Jumper Wires, Connectors, Switch
🔁 Methodology
1. Sensor Input – MPU6050 provides real-time tilt angle (pitch & roll).
2. Data Processing – Arduino uses complementary filter/Kalman filter for noise reduction.
3. PID Control – Arduino calculates corrective output using tuned Kp, Ki, Kd values.
4. Motor Actuation – L298N motor driver controls DC motors based on PID output.
5. Balancing Action – Robot continuously adjusts wheel movement to stay upright.
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This project is ideal for:
🎓 Final Year Project | 🏆 Competitions | 🏭 Prototypes | 🔧 DIY Exhibitions
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