Mechanics and Construction > Mechanics and Construction

quadcopter construction and design

**[email protected]**:

hey folks i am planing to make a quadcopter......

what would be the best material for the main chasis....?

which sensor should be used for the stability ??? a gyro or a accelometer

and i would need the kalman filter

any input or good tutorials? please post it.....

**Gertlex**:

Start reading here :)

http://diydrones.com/

**jwatte**:

--- Quote from: [email protected] on January 26, 2013, 10:44:14 AM ---hey folks i am planing to make a quadcopter......

--- End quote ---

Sounds like fun.

--- Quote ---what would be the best material for the main chasis....?

--- End quote ---

Carbon fiber. Aluminum or Titanium could be OK, too.

--- Quote ---which sensor should be used for the stability ??? a gyro or a accelometer

--- End quote ---

You need both, and ideally also a magnetometer. Which means you need a 9-degree IMU.

--- Quote ---and i would need the kalman filter

--- End quote ---

Yes.

--- Quote ---any input or good tutorials? please post it.....

--- End quote ---

diydrones.com

**[email protected]**:

thanxx !!!!! for the reply.....

can anyone tell me about what's a kalman filter have no idea about it???? i know it requires a lot of math....

is there an other alternative for kalman filter ???

**jkerns**:

A Kalman filter is a way to take noisy measurments (accelerations, gyro rate of change) and create estimate of what the actual "state" of your system is (attitude, speed).

Math is a fact of life. Newton (and others) didn't invent calculus just to make life hard for students - they invented it because that is the tool that is needed to describe how the physical world operates.

You don't need to use a kalman filter, but then you would need to design an algorithm to translate from the sensor inputs to the actual state of your quadcopter. If you know the magnitude of the noise the Kalman filter will give you the "optimal" estimate of those states. For other methods you will have to sort out the gains of your estimator on your own.

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