Stable Arduino Quadcopter with 30 min flight time

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30 minutes is very impressive!

What's the weight of the vehicle?
What's the motor's Kv rating?
What's the propeller diameter?
What's the battery capacity and voltage?
 

shaiko said:
30 minutes is very impressive!

What's the weight of the vehicle?
What's the motor's Kv rating?
What's the propeller diameter?
What's the battery capacity and voltage?
Click to expand...

Thank you, all the anwsers to your questions can be found in the video + description.
But to give som quick anwsers:
Weight: 1054g
Motor kv rating: 1200
Prop diam: 10"
Battery capacity (total): 7400mAh @3s
 

Do you use PID control for stabilization ?
Or something else ?
 

shaiko said:
Do you use PID control for stabilization ?
Or something else ?
Click to expand...

Yes, I use PID-control.

I set the terms as:
Code: 
Px = (wanted_x_angle-current_x_angle)*kp
Ix = Ix + (wanted_x_angle-current_x_angle)*dt*ki
Dx = x_angle_rate*kd

I do this for the x,y and z-angle.
 
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shaiko said:
And what is the formula behind the angle setting?
Click to expand...

The x, and y-angle are calculated by using the component of the gravitational force in each direction (this is measured by the accelerometer). That comes down to the expression:
x_angle=atan(x_component/sqrt(y_component^2+z_component^2))
y_angle=atan(y_component/sqrt(x_component^2+z_component^2))

The z- angle (yaw) has to be calculated by integrating the rate of change of the z-angle. This is because the acceleromter cannot measure changes to the z-angle (you need a magnetometer for this), so what you do is you integrate the z-angle velocity given by the gyro. It simply comes down to the expression:
z_angle = z_angle + z_angle_rate*dt

These angles are then plugged in to the PID-regulation (for the P and I term as described in my last post), and for the D-term you only use the angle-rate of change (deg/s).

I hope this made sense.
 

Yes, it's clear.
For the inclination reading, did you use a simple IMU? Or something that does sensor fusion?
 

shaiko said:
Yes, it's clear.
For the inclination reading, did you use a simple IMU? Or something that does sensor fusion?
Click to expand...
Yes, I use a MPU6050, that is an IMU with both accelerometer and gyro.
I use data from both the accelerometer and gyro in the filter to get less noise and better accuracy in the angle-estimates.
 

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