PID Controller Simulator

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  Buttons for graph

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  Homepage with gauge controls

🚀 Inspiration

As a robotics enthusiast and educator, I've often seen beginners struggle to understand how PID controllers work. Tuning Kp, Ki, and Kd often feels abstract without visual feedback. I wanted to create an intuitive, real-time simulator to make these concepts more accessible—especially for students building line-followers or balance bots. RoboMind was born from this need: a clean, interactive tool to see what PID tuning does.

🧠 What I Learned

Through this project, I deepened my understanding of:

• How PID algorithms translate into code and affect system dynamics.
• React state management and side effects using useState, useEffect, and useRef.
• Real-time graph updates with Chart.js and integrating it into a responsive UI.
• ShadCN UI and TailwindCSS for clean, scalable, and responsive frontend development.
• The importance of balancing simplicity with clarity when teaching complex topics.

🔧 How I Built It

I used Bolt.new as my primary development environment. The project includes:

• React for component-based UI.
• TailwindCSS + ShadCN for clean, responsive design.
• Chart.js (via react-chartjs-2) to render real-time data plots of system position vs. setpoint.
• Custom PID simulation logic to emulate control over a virtual robot or inverted pendulum.
• A "Reset" feature to restart simulations and an always-visible "Built with Bolt.new" badge.

Everything is fully client-side, deployable with Netlify, and optimized for both desktop and mobile devices.

🧗 Challenges I Faced

• Simulating a realistic PID response that feels intuitive without complex physics.
• Managing real-time state updates in React without performance issues or memory leaks.
• Getting Chart.js to smoothly animate live data updates while maintaining responsiveness.
• Fitting all of this into a single, clean prompt for the One-Shot Challenge!

Built With

• react
• tailwindcss