Manual and Automatic PID Tuning Methods | Understanding PID Control, Part 6

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MATLAB

Күн бұрын

Пікірлер: 51

@aydinnasirzadeh2190 6 жыл бұрын

This is insanely incredible. Have been watching 6 videos of the series in a row and I am not a bit tired.

@mohd.asaads.279 Жыл бұрын

Just a question since u watched all 6 videos;does this person explain how to use this MATLAB software in any of the videos

@BrianBDouglas 6 жыл бұрын

Hi everyone, thanks for watching this video! If you have any questions or comments on anything I mention leave them here and I'll try my best to answer it. Cheers!

@benjaminschifman4722 6 жыл бұрын

Hi Brian, I noticed that at around ~12:20 you are closing the System ID Plant loop around the Linearized loop output, and I don’t believe that was your intention. Great video though, thanks!

@BrianBDouglas 6 жыл бұрын

Benjamin Schifman yikes! You’re right. That was not intentional. Great catch!

@richardlewis1946 6 жыл бұрын

Brian Douglas I’ve watched through 7. I want to control a hydraulic driven drag chain using PID Set speed and direction from Setpoint. As load across hyd. motor increase PID adjust voltage of valve to supply greater flow demand. Hydraulic motor bypass oil as torque increase. Have enough, just can’t do it by hand.

@AbdulRehman-fh6vl 4 жыл бұрын

Could you please make a video on Cohan-coon tuning method or could you please provide me with the relative material for that where I could learn it. Thanks

@maxchr4457 4 жыл бұрын

Hi Brian, many thanks for your videos, I love your work ! However, at around 1:30 you write that PID=C(s)=[Kp + Ki/s + Kd.s].E(s) but this is actually the result of C(s).E(s), no ? I mean the transfer function of the PID alone is just C(s)=Kp+Ki/s+Kd.s, isn't it ? I am not sure to understand ...

@alemazza87 5 жыл бұрын

These are by far the best videos about PID I could find online. Congratulations, and thank you!

@the_emmo 5 жыл бұрын

Omg, Brian Douglas, is that you? I'm so happy to see you doing content for Matlab!

@wiloberlies9598 6 жыл бұрын

Really nice work here, these just keep getting better as we progress through the topic. Thank you for this series.

@pravinsukumaran6080 3 жыл бұрын

Bro thanks for the knowledge ......if we had more people like you on this earth im pretty sure the world will be a better place ...... ps add more ads i will gladly watch all of them ✌

@jasperzoey1912 3 жыл бұрын

With the help of..DR RORPOPOR HERBAL ON KZbin i have been cured totally from PID....🤩🤩

@Clem2228 3 жыл бұрын

Hello, thank you very much for this nice course ! at 12:29 isn't the PID in the middle looped on the wrong system ?

@Ofalcio 3 жыл бұрын

I think so too, but it seems like these systems are so similar that it doesn't affect the plot waveform ¯\_(ツ)_/¯

@Clem2228 3 жыл бұрын

@@Ofalcio Ok, thanks for the answer !

@Antonioqwert3868 2 жыл бұрын

Hi, Brian your videos about control theory is great, I hope you will talk about MPC controller

@utilizator1701 2 жыл бұрын

12:27 I am not confident about what you have done. The response from liniarization model is taken in consideration to calculate the command for system identification model?

@LuisSanchez-zb2ou 2 жыл бұрын

excellent explanation

@justinmynest 5 жыл бұрын

Great video Brian, SISO systems are basically simple to design and control. Can you give some detailed version where a PID is used in a MIMO system and how to tune its gain?

@sumanthpaul7724 4 жыл бұрын

You should have replied to brian's comment if you want your comment to be seen by him

@rinkukumar721 3 жыл бұрын

Can you help to tune PID gains of a simulink model having multiple PID controllers at different levels (nested PID controllers)? Your help will be appreciated...

@jasperzoey1912 3 жыл бұрын

With the help of..DR RORPOPOR HERBAL ON KZbin i have been cured totally from PID....🤩🤩

@pleasuremaster4617 6 жыл бұрын

I'm still trying to get my head around pid controllers and tuning. It would be great if there was a home brewer focused special.

@Nicoleise 5 жыл бұрын

That isn't really necessary. The whole appeal of PID controllers is their broad application. Your home brewing could be done with several PID controllers, but the cruise control in your car or the robot that built it, could as well. It's rare - I think - to have one set of instructions to learn, that has this broad application, and for that alone, it's worth understanding the principles. Once you do, you'll find that it doesn't matter if it's home brewing or a cruise control, because they all adhere to the same simple rules. :) Instead, I suggest you try and watch videos of the basics of PID controllers, but watch many of them from many different people. I'm certain that eventually, these different explainations combined will trigger your specific way of understanding, and you'll just get it. Until then, it's not really worth watching more advanced videos like these, because this is truly an area where the basics, and understanding them, is key. :) If that doesn't seem like your cup of ale, instead I'd suggest that you reach out to friends or professionals with sufficient interest to get your solution just right. If you want to concentrate on brewing, that is absolutely fair, but then a better approach than e.g. understanding it half way, would be to involve some expertise to get you setup. Best of luck with the brewing. :)

@junyang1710 Ай бұрын

In a real project, there are still many things to consider, Now I am controlling 2 DC motors for a differential robot using PWM signals, but the generated voltages(by adjusting the PWM ratio) vary with the supplying voltage (battery to motor driver board), I can detect the supplying voltage(it drops a little if the motor works sometime). So is it a time-varying system?

@ramonuhl9812 3 жыл бұрын

Hello, is there an example of how this would be done with system with multiple states that one wants to control? I have a Mecanical System (Ballbot) and the PID Block returns a vector although i have only one actuator (Motor with Omniwheel that creates Torque). I am getting an error message because of this. Greetings

@jasperzoey1912 3 жыл бұрын

With the help of..DR RORPOPOR HERBAL ON KZbin i have been cured totally from PID....🤩🤩

@nrdesign1991 4 жыл бұрын

I never knew these things even existed in Matlab. We did it the old-fashioned way of solving everything by hand last term.

@soupe2000 2 жыл бұрын

same thing, we always tune it by hand or writing a code in matlab to find appropriate gains

@MultiSigen 4 жыл бұрын

Your videos are great! Please do IMC tuning

@suhadhadad5842 5 жыл бұрын

Thank you .. nice and useful work .. can you adjust the sound please

@boydmunkombwe5017 5 жыл бұрын

Hey Brian. You have very very awesome lectures man, great job. i was wondering if you could help me on how to handle issues of saturation when tuning PID controllers. am trying to tune PMSM FOC PID controllers, the challenge i get is for the motor to reach the commanded speed, a voltage of over 300V is commanded. Now, when i limit the output saturation to 220V, the tuned parameters don't seem to work well on the system. i will will appreciate any help rendered. Thanks

@Hudmyq 6 жыл бұрын

hi,Brian, thanks for your video. After watching 6 videos, I have two questions: 1. For the invert pendulume, most of youtube videos show that the control system is to make the cart to stablize the pendulum without any disturbance. So, If we consider someone was moving pendulume by hand, we need to make a control system to control cart to stablize this pendulume. Shall we consider this 'hand' as another input? or just a noise ? 2. if the invert pendulume mass was changed during operation. I think we need to find new PID parameters. How are we tuning PID values during the operation ? Any suggestions?

@rajendrabhat4592 2 жыл бұрын

Hello Brian,why cant we realize a derivative in control system?

@saira9130 3 жыл бұрын

While auto tuning I am getting an error "PID Tuner could not find an initial stabilizing controller using plant "

@siddheshnerurkar1167 4 жыл бұрын

can someone give me the solution for laplace transform of the pid fucntion at 1:43

@carultch 10 ай бұрын

It's a function with more zeros than poles, so first you need to reduce it from an improper fraction to a proper fraction: kd*s + kp + ki/s The inverse Laplace of a constant, is just the unit impulse function. The inverse laplace of s, is the derivative of the unit impulse, delta'(t). Only ki/s materializes as part of the time domain response in the long term, and the solution is just a constant with the unit step function. Thus, the time-domain solution is: kd*delta'(t) + kp*delta(t) + ki*u(t) It only really means anything for a control system, when you apply it in series with the plant you are controlling, and if applicable, connect a feedback loop. If you applied a unit step input, you'd get a time response of: kd*delta(t) + kp*u(t) + ki*t*u(t)