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Author Topic: confused on WebbotLib + Razor IMU  (Read 1045 times)

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Offline meysam1979Topic starter

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confused on WebbotLib + Razor IMU
« on: July 19, 2011, 08:35:38 AM »
I bought 9 degree of freedom- razor imu ,my reference number is SEN-09623 and the version of my board (back of pcb) is 12/28/09 and I think my schematic  version is V14 because I saw LPR530 and LY530 on my board replace ITG-3200?! Is it bad?
I am confuse, how can I work with this IMU,please help me
1.   I want to start working with AHRS now, then I am tyro, please help me to start.
2.   I want to connect my imu with ft232 to PC , please send me monitoring software
3.   Please help me to develop IMU with kalman filter
4.   Where I can download the source code of razor ?
5.   I have to upload new Avr code. Is it correct?how?
6.   I visited http://code.google.com/p/sf9domahrs/source/list ,I donít know what is it.
7.   I know code vision then I want to connect RAZOR to Atimega 16 with rs232, please send me information about command code .
Mersi :'(
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Offline Webbot

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Re: confused on WebbotLib + Razor IMU
« Reply #1 on: July 21, 2011, 02:03:37 PM »
Its not really a WebbotLib question since you want to connect the Razor to your PC.
So just add a TTL-USB or TTL-RS232 shifter in between.

The Razor, by default, has NO kalman filter, AHRS etc etc built in.

IF you want to connect the Razor to an AVR ATmega processor running WebbotLib then Admin created some code to upload to the Razor so that WebbotLib can access the inidividual sensor values. But you still need to write the kalman filer, ahrs stuff yourself.
Webbot Home: http://webbot.org.uk/
WebbotLib online docs: http://webbot.org.uk/WebbotLibDocs
If your in the neighbourhood: http://www.hovinghamspa.co.uk

Offline Admin

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Re: confused on WebbotLib + Razor IMU
« Reply #2 on: July 21, 2011, 06:22:32 PM »
Just install this .hex file onto your Razor using an ISP programmer:
http://www.societyofrobots.com/robotforum/index.php?topic=11599.msg88205#msg88205

Then you can use WebbotLib to use the Razor, it'll return all the sensor values as requested.

You'd have to write your own Kalman filter, however . . .

 


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