Kalman Filter IMU 5 IDG300 ADXL330

[broncocv]

Hi! nice project! sorry not knowing the concepts, but...what is a IMU?? and how exactly did u implement the kalman filter?? thanks

[alquiora]

@broncocv

Inertial measurement unit is a sensor composed of gyros, accelerometer and magnetometer.

For this case here, to implement Kalman filter, you would need the process model that evaluates the internal state of the system as well as observation models which are also known as the outputs of the system. Then the rest is just a matter of using the Kalman algorithm i.e. using a set of formula in sequence.

[alexneverhurts]

Great sneeze!

[miles3]

have you done this with labview?

[wanderameise]

can anyone contact me. I´m seaching an example code for this device!!

pls

[rodstartube]

you also want a free teacher at home and a ferrari as a gift?

[wanderameise]

no thanks, just wanted some help to improve my code... mhh but wait, this is the internet and ur an asshole, so I should stop asking for help and go on and bother anyone.

idiot!

[rodstartube]

use your brain instead of wanking code to the ones that made their work by themselves. "ohh.... contact me... big brothers call me and help me..." you weak brain. read books and experiment by yourself, sad little idiot.

[wanderameise]

oh cmon dont be superficial like this. theres enough I did and I always shared it and helped people out. fckin wanker, care about ur own shit. not everyone can be a nerd like u! kiddie

[rodstartube]

lol, by the way,  what is the problem with your code, performance, filtering, tuning, data displaying, sensors mixing, predicting, updating, or all, or what? maybe i can help

[wanderameise]

may be...

I´m using the titled device and I got some problem with the gravity. I´m looking for the best way to eliminate it! using the devie as an 2 axis accelerometer I can calculate the distance. but when changing the z axis I got problems with gravity! whats the best methode? matrices?

[rodstartube]

you said two times you got some problem with gravity... which is the problem..?? also you speak about a device. ¿which one: gyro, accelerometer or both as a device (imu)??? you need both to calculate drag and rotation but first, which Kalman method are u using... just need clear info to help.. (i've developed in a PIC32MX460FJ512L + dsPIC33F for a frontier (grenze) patrol UAV heli) as a simple line consider accelerometer signal is drag unless gyro says the opposite (or in the cosine ratio)...

[superballistic]

can you do a full 360 degree turn..because in my filter code I have a problem when my accelerometer jumps from 180 degree to -180 degree

[ehrenk1]

yea source code would rock. great work. i need to learn how to implement this for my project.

[jonathanrp]

Very interesting this project!

Congratulations!!

I am working on a inverted pendulum robot and i already bought a accelerometer and gyro.

the problem is to integrate both sensors.

Could you tell me a good site or resource to see this kalman filter applied on both sensors.

Thanks!!

[cometin22]

Hey DO you have a source code? What is the wireless device to use to have a comunication with pc?

[cometin22]

Hey DO you have a source code? What is the wireless device to use to have a comunication with pc?

[devrylocos]

Hey great work..

but heyy how do you make the Kalman filter work??

what kind of programing are you using??

is it posible to use the programing on C to use it on a micro controler?

[wasssup1990]

Can I have the source code for your PIC please?

[mancio92M]

Yes but is not only every filter has a lag

[krbosak]

So if you want less lag, you would need faster smapling rate? or maybe not enough, since kalman must average gyro to acceleros, so if we want less lag, we must use less avergaging towards accelero, what means for less lag we need less gyro drift (quality gyros)?

[Elamin005]

does the gyro suppress the cross axis by itself or kalman filter does that ??

[wasssup1990]

I notice there is a slight delay between the gyro+accelo+kalman angle reading and the actual tilt angle. Is this due to the computer latancy?