Good video bro. I used these equations on a Arduino last year, made several PIDs to control the illumination of desks in a Lab. Controlled light dimming, fans of the lights, distance sensors(to check if there is someone in the desk). Really nice video man.
If the P gain is to high (~2:40), it will oscillate, but it will be above and below the set point, not under it. At 7:45 your two bottom tables are not correct, the reset register would not be that high when the error is small and the P is way to high when there is little or no error left. Thanks for the video. Watch the Motec PID videos, they are pretty good, but long.
Thanks the pseudo code really helps to clarify it in my (4 function) mind :-) Pity about the sound quality - as an ex-sound engineer, I suggest you use a pop-shield between you and the mic (this could be as simple a a piece of ladies stocking stretched over a wire loop ) it'll stop the popping sound as you pronounce the 'P's and 'B's and allow the recording level to be higher.
Well done! However, I quibble with this idea that gain is "unitless." I disagree. For instance, if the input is measured in miles per hour, and the output is measured in degrees, then change in output over change in input is measured in degrees per mph, or equivalently, degree-hours per mile, so the gain would be measured in degree-hours per mile. You could say that degree is not a physical unit, which is fine, but then you're still left with hours per mile.
Great video; good refresher for me. You confused me a little at the end there when you drew projections of the speed's slope and called it the error slope. Might be helpful to include an error plot to show how the error derivative imparts a negative effect on the controller output. Thanks for the lesson Scott!
Im still not understanding tau i when applied to code. Is it the change in time bewtween each cycle? or is it a cycle that adds up time until it equals 5 seconds or something?
Great Video. I'm a VEX Robotics Programmer so this has been really useful to me! Thanks - if you could do one that shows me how to implement PID Control into RobotC or EasyC it would be fantastic.
Very helpful, but still seems like rocket science to me. More time to play around will help cement this in my aged brain, and control this F****** stabilized camera head
People like you are awesome, thanks for taking the time to explain such a difficult concept in a simple way!
Good video bro. I used these equations on a Arduino last year, made several PIDs to control the illumination of desks in a Lab. Controlled light dimming, fans of the lights, distance sensors(to check if there is someone in the desk).
Really nice video man.
Well done! Thank you for describing PID parameters in a way we can understand intuitively.
Great video!
Some people will complain about anything; I don't understand how anyone could dislike this...
Great video, wish there was a visual representation of PID together
I struggled so hard with the integral part. You made it look so simple! Thanks mate! :)
Much better explanation than I got from the head of mech eng department at uni. :P
If the P gain is to high (~2:40), it will oscillate, but it will be above and below the set point, not under it. At 7:45 your two bottom tables are not correct, the reset register would not be that high when the error is small and the P is way to high when there is little or no error left. Thanks for the video. Watch the Motec PID videos, they are pretty good, but long.
Thanks the pseudo code really helps to clarify it in my (4 function) mind :-)
Pity about the sound quality - as an ex-sound engineer, I suggest you use a pop-shield between you and the mic (this could be as simple a a piece of ladies stocking stretched over a wire loop ) it'll stop the popping sound as you pronounce the 'P's and 'B's and allow the recording level to be higher.
Really quite excellent. Not for a total beginner, but good for someone who is relatively new to PID loops.
Well done! However, I quibble with this idea that gain is "unitless." I disagree. For instance, if the input is measured in miles per hour, and the output is measured in degrees, then change in output over change in input is measured in degrees per mph, or equivalently, degree-hours per mile, so the gain would be measured in degree-hours per mile. You could say that degree is not a physical unit, which is fine, but then you're still left with hours per mile.
Great video; good refresher for me. You confused me a little at the end there when you drew projections of the speed's slope and called it the error slope. Might be helpful to include an error plot to show how the error derivative imparts a negative effect on the controller output. Thanks for the lesson Scott!
Im still not understanding tau i when applied to code. Is it the change in time bewtween each cycle? or is it a cycle that adds up time until it equals 5 seconds or something?
Nice Video! I appreciate it. This makes the theory much more clear.
Thank you so much, this is superb....
I've been struggling in understanding such conccept but after this videooo I really would love to thank you a lottt :D
Is simple but I think is a good explanation! I hope you keep doing videos about it.
awesomeness for the beginner... really im so thankful to you
Amazing!! Great graphical interpretation....
Excellent video! Thanks for it.
Fantastic explanation and video -- this helped so much -- thank you!!
Terrific video, thanks very much for making it!
mind blown ! thank you for the excellent video
Such a good explanation thank you so much
For the PD control you start out using tau_d but change to tau_i. Is this a typo?
Great video. Easy to understand! Thanks!
Great Video.
I'm a VEX Robotics Programmer so this has been really useful to me!
Thanks - if you could do one that shows me how to implement PID Control into RobotC or EasyC it would be fantastic.
Thank you for sharing you knowledge!
This is awesome thank you so much!
Thank you !
I love you !
great explaining thank you
Very nice explanation.
good stuff...the units for the I and D can still be slower and clearer
Great job, this really helped thanks!!
great explanation, thanks.
Did you say demystified?
Excellente!
very well explained
helps me a lot
Superb!
nice presentation :) thank you.. :) i thing u made ur voice lesser, next time pls pls use your own voice... its sometime irritating..
nice one mate thanks
Thank you so much !!!
Thanks a bunch!
Very helpful, but still seems like rocket science to me. More time to play around will help cement this in my aged brain, and control this F****** stabilized camera head
good job !!
love it
very good
Man Ur amazing :)
Thanks
THNX
Thnx to whom?
THNX to myself for watching this video. ;)
very usefull
Too fast
Thanks