Manual and Automatic PID Tuning Methods | Understanding PID Control, Part 6
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- čas přidán 19. 06. 2024
- The previous video showed three different approaches to developing a mathematical model of your physical system.
Now that we have this model, we can use it to tune a PID controller that will work to control the physical system.
PID tuning can be thought of in two ways: Adjusting the three path gains (Kp, Ki, and Kd), or placing two moveable zeros and adjusting the loop gain to get the desired response. This video shows how thinking of PID tuning using moveable zeros allows you to approach the problem with loop shaping and pole placement methods. These methods provide a more systematic approach over the brute force method of guessing gain values and checking the response.
In addition to manually tuning a controller, this video introduces how automatic tuning can be a way to quickly get a controller design to meet the system requirements.
- Download Code Examples to Learn How to Automatically Tune PID Controller Gainshttps: bit.ly/2HKBh12
Related Resources:
- Control System Design with the Control System Designer App: bit.ly/2KuAnr9
- Designing PID Controllers with PID Tuner: bit.ly/2L8tnkd
- Embedded PID Autotuner - Simulink Example: bit.ly/2Lc1307
- Design Compensator Using Automated PID Tuning and Graphical Bode Design: bit.ly/2LesAhP
- To learn more about PID tuning with MATLAB and Simulink visit: bit.ly/2KEQ9yZ
- To learn more about root locus design, visit: bit.ly/2Lbnoed
- To learn more about loop shaping with Bode plot, visit: bit.ly/2L8IXfD
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This is insanely incredible. Have been watching 6 videos of the series in a row and I am not a bit tired.
Just a question since u watched all 6 videos;does this person explain how to use this MATLAB software in any of the videos
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!
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!
Benjamin Schifman yikes! You’re right. That was not intentional. Great catch!
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.
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
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 ...
These are by far the best videos about PID I could find online. Congratulations, and thank you!
Really nice work here, these just keep getting better as we progress through the topic. Thank you for this series.
Omg, Brian Douglas, is that you? I'm so happy to see you doing content for Matlab!
Your videos are great! Please do IMC tuning
Hi, Brian your videos about control theory is great, I hope you will talk about MPC controller
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 ✌
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excellent explanation
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
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?
Thank you .. nice and useful work .. can you adjust the sound please
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?
You should have replied to brian's comment if you want your comment to be seen by him
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.
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. :)
Hello, thank you very much for this nice course ! at 12:29 isn't the PID in the middle looped on the wrong system ?
I think so too, but it seems like these systems are so similar that it doesn't affect the plot waveform ¯\_(ツ)_/¯
@@Ofalcio Ok, thanks for the answer !
⚡️ Tuning a PID Controller Using the Ziegler-Nichols Method | MATLAB code available czcams.com/video/8MMcPLTwo_s/video.html
I never knew these things even existed in Matlab. We did it the old-fashioned way of solving everything by hand last term.
same thing, we always tune it by hand or writing a code in matlab to find appropriate gains
Hello, I need LDR method of PID control algorithm, plz help
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?
Hello Brian,why cant we realize a derivative in control system?
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...
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Can you share your channel url
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
With the help of..DR RORPOPOR HERBAL ON CZcams i have been cured totally from PID....🤩🤩
Hey! I have some questions about LDS and matlab. Can i ask you
林政寬 sure! If I can’t answer then maybe someone at mathworks can.
While auto tuning I am getting an error "PID Tuner could not find an initial stabilizing controller using plant "
Video on PID control:
czcams.com/video/71o4lFRBZnk/video.html
can someone give me the solution for laplace transform of the pid fucntion at 1:43
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)
after this lesson i use sandboxie still.
9:43 so với 10:15
5:16 khó hiểu