Behavior:PID Control
Jump to navigation
Jump to search
| PID Control | |
|---|---|
| Type | Behavior (Algorithm) |
| Requires Capabilities | Any sensing capability that provides error measurement |
| Enables Activities | Activity:Line Following (smooth), precise position control, speed control |
| Difficulty | Intermediate |
| Status | Stub - Algorithm not yet implemented |
PID Control is a behavior (algorithm) that uses proportional, integral, and derivative terms to minimize error in control systems.
Overview
This is a stub page. This behavior is not yet implemented in any BRS robot. This page exists to:
- Document the algorithmic concept
- Invite community members to implement it
- Provide a starting point for algorithm design
Required Capabilities
This behavior requires:
Enables Activities
Implementing this behavior enables:
Algorithm Outline
PID control is a feedback loop that continuously calculates an error value and applies a correction:
- **P (Proportional)**: Correction proportional to current error
- **I (Integral)**: Correction based on accumulated past errors
- **D (Derivative)**: Correction based on rate of error change
The output is: output = Kp × error + Ki × ∫error·dt + Kd × d(error)/dt
Pseudocode
# PID Controller error = setpoint - measured_value integral = integral + error * dt derivative = (error - previous_error) / dt output = Kp * error + Ki * integral + Kd * derivative previous_error = error apply_output(output)
Implementation Challenges
- **Tuning**: Finding optimal Kp, Ki, Kd values requires experimentation
- **Integral windup**: Integral term can accumulate excessively
- **Derivative noise**: Derivative is sensitive to sensor noise
- **Sampling rate**: PID requires consistent timing for accurate integral/derivative
Contributing
Want to implement this behavior? Here's how:
- Study the algorithm outline above
- Implement in your language of choice (MicroPython, C++, Arduino)
- Test on a robot with the required capabilities
- Create an Implementation page (e.g.,
YourRobot:PID Control Implementation) - Update this page with algorithm refinements
- Share working code on GitHub
See Also
- Behaviors - All behaviors
- Capabilities - Hardware required
- Activities - What this enables
- Robotics Ontology - How behaviors fit into BRS knowledge structure