Amazing video. This was the first video of many that helped me understand how the MPU-6050 works, as well as gyros and accelerometers in general. Keep up the great work - it's super cool!

This video, and the first video that goes with it, is amazing. I’m a drone pilot but just recently starting getting into the programming and development aspects. I bought an Arduino Mega2560 with a bunch of standard sensors in the kit, but the GY 521 is the one I was most interested in. This video series has explained a ton of useful information! I already have a programming background so that part is covered; it was just a matter of getting the pesky data from the GY 521 to actually be useful. It’s great people like you that make UKposts and DIY projects worth the time and effort when other people are just starting. Thank you so much!

Amazing, thank you! Something I've been trying to wrap my head around for weeks and realized I wasn't even close. Plugged this into my program and bang! spot on!

The knowledge of vectors and components really helps. When I watched this video two years ago, i understood very little. But now that I've learned about vectors and their angle calculations, this is relatively easy :)

I just found your channel last night. I am so glad I did. So much fantastic knowledge, explained in a very relevant and comprehensive way. Thank you for taking the time to produce these great and informative videos.

Hi Joop, I've been building quads for a few years and the IMU has always been a bit of "Black Magic". Thank you for a very clear explanation of how it works. Kind Regards Alan

You are truly inspirational! The way you explain everything is so unique. It allows for people of all levels to grasp the concepts as much or as little at a time that they can handle. I believe that this is the way education should be handled at our schools. Students would be engaged a lot more in their Maths and Science with practical applications of the subject material. I have built the YMFC-AL and have had fun flying (and crashing) it. I am now at the stage where I am looking back into the code and trying to better understand the detail.

This is the best tutorial I have seen involving mathematics ever! Keep up the good work, more tutorials with math like this!!

Hey, although I already read a bunch of stuff about these IMUs the past few days I must say that your video is highly interesting and sums up a whole lot of things you have to deal with when using these type of chips. Thanks for your great and detailed explanations, this way it is really easy to follow!! 👍

Thanks for this straight forward demonstration of how to harness the MPU data into useful control.

after 6 year of your videos, i had to watch your video more than 10 times . i really appreciate your explanation as a way that even the noob can understand . i’m sure this video will never get old .thankkk😅😊

I am so thankful that I stumbled upon your channel; and even more thankful that you have decided to share what you have learned.

about time someone uploads a video on the subject i can understand, thanks!

Thank you so much sir for sharing this great work with the community, It has been 2 years i am following your tutorials

Dude.. first thing first.. i trully appreciate your work on this video.. or even your playlist on build quadcopter from arduino. it helps me a lot.. so seriously thank you very much for your work. You explain things very good and easy to understand. I'll look further on your playlist on building copter because im on my way building up one too from arduino. You helped me a lot dude.. thank you very very much.. even better a lot of people might be helped too by your videos. Keep up your good work dude. And once again, thank you very much.

You are a godsent sir! I'm currently working on a final year project where I need to develop a stop indicator system for a trials motorcycle and I needed a good way of measuring the instantaneous tilt angle in the vibratory conditions. Your explanations were so useful! Thank you :)

This is the first video I saw which says how to fix drift and is very well explained. Thank you for providing the code too :)

Really good. clear and practical explanations of the IMU behaviour and how to compensate for the real-world issues. Excellent work!

Great work dude! I am building a quad very similar to yours and your videos are helping a lot!

Best Video I have ever seen on how to use this device

Your explanation is so clear it encourages me to explore areas I would have attempted. Thank you so much.

Your videos are a life saver!!! Thank you so much for making things so simple.

Great video! I'm about to build a drag race measurement device, so this video came in handy! Thanks a bunch!

You genius! :) Thanks for sharing it, made me understand how the sensor really works. Thank you again! :D

What a couple of usefull videos. For real man this is gold for me. I had 0 hope of finding how to use this sensor on youtube.

Thanks for the easy to follow tutorial. I was able to modify your MPU-6050_IMU.ino to work with my MPU-9250 and output some very usable roll/pitch data.

Sir, your videos are great. You do deserve more attention.

Excellent video. You've managed to shrink a term's work into a 10 minute video! Great job.

Awesome, very nicely explained even if I already knew most of the concepts still very useful to see them clearly explained again...

A great explanation to a difficult topic!

Fantastic vid Joop. Keep up the good work.

it is really very useful it has clear many of my doubts in single short

Hey! What a great video! Thanks! Really simply and nicely laid out and explained with good examples! 😁

U can explain in very detail .....which help us a lot.....thank you very much 👏🏻

Thank you!, Explained a lot of different approaches.

I have been watching your Videos for 2 Hours solid, Most interesting videos I have watched and your theory is amazing I have booked marked and will continue tomorrow. I thought I was a Bright Boy. You Just shown me how little I know lol Thanks for the Great Explanations I have learnt a LOT. Thank You !!!!

Only 4 people didn't learn something. Great job. :)

Excellent explanation of MPU-6050. Thanks.

Your video series on building quadcopters and related research topics are really nice and helpfull. Five years ago, when I learned to build my own quadcopter from scratch, there were not much easy-to-understand tutorials like yours. I think sensor fusion and calibration topics are quite critical for a good performance of a quadcopter. Could you please conduct some research and provide us some tutorials like this video. Thanks a lot.

Just read the HMC5883L document you suggested. Looking forward to your implementation! Thank you again!

Thank you so much. Your tutorial really help me^^ May I ask a reason why do you use your own angle (roll, pitch, yaw) calculation method instead of DMP in MPU-6050? I guess DMP returns exact values for roll, pitch, yaw. Is there timing issue when using DMP on arduino quad drone? Thanks again~

Clear explanation, thanks! Also DMP of the MPU6050 can be used for data fusion and also gimbal lock can be avoided by using the quaternion values.

You are amazing .. truly amazing. How well you explained it all, when I thought that it is so complicated, but now you made it easy for me. Thank you! You are genius!:)

Thanks a lot for a very thorough and clear explanation

Good Day, Joop. GREAT tutorial my friend. It did very much all what I wanted it to do. However ... I tried to make it display the yaw and the temperature, but my knowledge in Arduino and MPU-6050 are still very green, since I only started in this platform (Arduino) 1 or 2 weeks ago. My interest started when I realized I could program this micro controller to do almost anything and I had an application for such thing. I did lots of Visual BASIC programmation in my younger days, and I see the C/C++ structure is somewhat different, but I get some parts of this, since it « speaks » English and shares some similar structure. I tried to modified the code to make it display the yaw and temperature as well, since I have a 20x4 LCD Display (and a TFT Display, but I'm not there yet!). So, after modifying the Display's parameters and adding a few lines to the original program, trying to follow the same logical structure (declaring extra variables and all) well, it compiles successfully but, of course, it didn't work. I must've missed something or did something wrong. Could you (or someone) help me achieve my goal ? Thank you in advance. Regards, Dan, aka « Uncle Dan »

this is very very good! thank you for your input. without ur video i don't think i would have understand this

its really worth watching. Excellent work!

Genius level of explanation

Amazing explanation, thank you!

from a complicated subject to a practical hobby

Thank you for more detailed information. Very nice for DIY developpers

Thanks for the great description...AND sense of humour. :)

Very nicely explained. Interesting that such a small correction from the accelerometer is enough.

Thank you ! Your tutorial help me a lot

Bedankt voor de uitleg Joop. Duidelijk uitgelegd.

Your videos are so perfect.

your tutorials are so underrated! They are also not limited to onmly mpu6050. I needed to hear all of this for a completely different imu. thank you for your work! just one question, it seems your sensor has no yaw drift. how do you combat it? In the code you used, there was no word about it, and due to the drift the sin makes my roll and pitch values go all over the place...

love your content man very helpful

thank you sir for such a wonderful explanation.

Now I would be interested in a similar video, but explaining a more robust algorithm without the problem shown in the end of the video.

An excellent tutorial, thank you.

Duidelijk uitgelegd Joop. Top video!

I really like your work. Thanks!

Very very helpful for us, the way you explain is what our education system needs ! 👍👌👌

Amazing, thank you very much!❤️

Thanks for the great explanation with step-by-step details! I have a question -- how would implementation of a Kalman filter improve the working of the IMU? What would be the costs?

Of course we did learn something Joop!, Excellent coaching/teaching once more!

Very well done tutorial. Thank for the effort.

now you just need to add a magnetometer to correct for yaw drift and a barometer for more accurate altitude. Accelerometer alone drifts when trying to measure position.

For those who are wondering why he uses different formulas in the video explanation than in the code: The MPU6050 positiv x-direction (Roll-Axis) is used as the pitch Axis in the video.

Very well explained, and very interesting. Thanks

its just these two lines that will do the job. more likely all the jobs in the world are solved with two lines of yours mister. love you videos. thank you for the time you are spending for making the world smarter. hopefully one day smart people will be more than ignorant people :)

wow, very nice project and tutorial! Can you eventually tell my, how i can add the yaw-axis in your arduino sketch?

Very nice explanation, I do learned a lot from you. Thank you.

Thank you for your very good work.Very useful and very well documented! Please let me know if you ever plan to make the same tutorial about the ESP8266.

Thanks a lot Joop, you're awesome! I have one question, Can you apply this mods to the YMFC-3D V2 Proyect? Greetings from Ecuador!

Thanks for a great explanation! Have you experimented with the DMP (and library) yet? It does many of the calculations for you, but knowing what's going on and why is very good to know. I'm still having some issues with the DMP output, I will test-drive your code. :-)

brilliant video,very nicely explained

Thank you man, you the best

thank you very much for sharing these info with us

You are a good teacher

Thank you for sharing this with us. I do appreciate your style and clarity of explanation. It is especially nice to have a program with straightforward functions rather than libraries. Your 250 Hz an integration period of 4 ms but your loop period is 4 s. How does this work? Thank you Joop.

oh i love it! if i can make a small project suggestion? have you thought of making a custom, ultra small rf beacon so you can find it if it gets away? maybe something based upon the attiny85? great wotk on the videos, learning Heaps!!

Спасибо Вам! Давно искал рабочий электронный уровень.

Great video, thank you. I have a question though, please, how does adding the 0.04% of the accelerometer angle remove the drift !?

Thanks for the video's and code. I have been playing with your program a little and adding my notes here for other experimenters. I am using a 32 bit micro, and some of the variables need to be declared as int16_t in order for the values to be read correctly from the IMU. Once tilted past 90 degrees, some of the functions do not work correctly ( inverse sine ). As a simple solution, I may just not apply the accelerometer corrections when past 90 degress.

great video, but what about the yaw axis? can you calculate the motion around the yaw axis to stabilize the quad direction without a compass

This is probably the best working code for this IMU and probably the best video explaining the process. Great material. One question: the code calculates pitch and roll but I would like to calculate yaw as well. I suppose I can define angle_yaw += gyro_z * 0.0000611; but do I need to calculate somehow a angle_yaw_acc? If so, how to do that?

Hi Joop, Thank you very much for these videos! Can you tell me what LCD you are using?Thanks for you help.

very helpful thank you 🙂

learned something......... learned so much!!!!

perfect video :) but I want to know how to connect this sensor to arduino uno and do I have to change the code?

Hi Sir, first of all thank you for your great job. I have a question about the Digital Low-Pass Filter (DLPF) and its band-width. In your final Arduino sketch, you chose a band-width about 43Hz. Why this value ? Regards,

Great work.,,when can I get the final quadcopter code with self level because I made everything works great. If I get self level I will make the necessary variations

Very informative,great thanks..

Your explanations are very clear. I have watched your other videos as well, the explanations are very clear. I have tried out the code [IMU 6050]. I have a pretty good accelerator reading and its response to angle movements. However, the gyro readings are not changing with the tilt angle as supposed to. The gyro readings are centered around the first reading, I am assuming the angle set by the accelererometer as you explained for the startup procedure. I just copy and pasted the code so I have no clue what could be the problem. It'd of of great help if Joop or anyone could help me out on this one. Thank you in advance.

Hi Joop, thank you very much for this article - is it possible to extend this to 360 degree? It would be important to detect over head angles too

Hey!! Awesome video. Can you make a video on kalman filter also? Please Thanks

Excellent work! "Simplicity is the ultimate sophistication" (Leonardo da Vinci ) and you have given a simple explanation and solution to a complex problem. I need stable, sensitive, fast roll and pitch inputs for a foiling RC catamaran (Vibration is not as problem). Do you think the solution you described here using the MPU-6050 would be suitable? Or would you suggest something else?

I'm watching your videos right now, they're so good that i've watched all of them at once, anyway, i would like to ask you what exactly causes the angle drifting on the IMU created with a gyro.