Basic Drone Stabilization Algorithm EXAMPLE

This is just some sample cod: this example project is just some Ai trash that provides a basic stabilization algorithm for amateur drone builds. The code helps maintain level flight by continuously adjusting motor speeds based on gyroscope readings.

Key Features:

• PID controller implementation
• Gyroscope data processing
• Motor speed adjustment calculations
• Compatible with most flight controllers

```python
class DroneStabilizer:
    def __init__(self):
        self.kP = 0.5  # Proportional gain
        self.kI = 0.2  # Integral gain
        self.kD = 0.3  # Derivative gain
        self.last_error = 0
        self.integral = 0




def stabilize(self, target_angle, current_angle):
    # Calculate error
    error = target_angle - current_angle

    # Calculate PID terms
    self.integral += error
    derivative = error - self.last_error

    # Calculate output
    output = (self.kP * error + 
             self.kI * self.integral + 
             self.kD * derivative)

    # Update state
    self.last_error = error

    return output

def adjust_motors(self, gyro_data):
    # Process each axis (pitch, roll, yaw)
    adjustments = {
        'motor1': 0,
        'motor2': 0,
        'motor3': 0,
        'motor4': 0
    }

    # Calculate motor adjustments
    pitch_correction = self.stabilize(0, gyro_data['pitch'])
    roll_correction = self.stabilize(0, gyro_data['roll'])

    # Apply corrections to motors
    adjustments['motor1'] = pitch_correction + roll_correction
    adjustments['motor2'] = pitch_correction - roll_correction
    adjustments['motor3'] = -pitch_correction + roll_correction
    adjustments['motor4'] = -pitch_correction - roll_correction

    return adjustments