I could tell within the first minute that this guy is a natural teacher.

Thanks for taking the time to share your knowledge. You have a knack for explaining a complicated process and breaking it down in a fashion that even a noob can grasp. Cheers!

Your a genius man. Great explanation. You truly know exactly what your talking about. I would love to work on automation projects with you.

Simply an amazing video. It was well summarized and yet extremely informative, specially being just the tip of the iceberg. I am leaning on doing my senior project on PID systems based on what I just learned from you. Thank you

Kevin, You are brilliant. You teach control as it is in real world. thanks.

One of the best explanations I have watched about a close control loop tuning. A master. Thank you for sharing with all of us.

Your first point is so RIGHT the number if times I have gone to breakdowns "Due to the controller" that is something physical not functioning correctly in the big bad world. The worst was the wrong sensor been installed from construction and after a lot of engineers looking at the controler over 3 years, then I go to site, doing your first thing and look at all the sensors and find they all were getting reading from a pressure tranducer that was the wrong type. Remember there is no such thing as a desk engineer. Very Good Video

Very practical and honest explanation from his dedicated experience! Received an realistic insight into the topic! Salute to you! ....Love from India!

SIR, YOU ARE A GENIUS! A very practical way on physically implementing control loops. I have to say that I used to struggle a lot with such concepts in college. This video is gold.

Great video! Very concise and no nonsense :-) It might be worth mentioning that when deriving a model from a step-response (I call this a data-driven model), the step used for the response should be in the linear region of the plant/process. Take for instance a motor that can run between 0-1000rpm. To derive a linear model for this motor, the step should not be close to the lower (0 rpm) and upper (1000rpm) operating regions of the motor, due to non-linearities from e.g. inertial mass (shaft, gearbox, load). I would recommend performing an initial step of say 200rpm, followed by a step from 200 to 800rpm. This last step is used for the linear model. The low and upper regions for a motor tend to be non-linear and would not produce an accurate linear model. For validation I tend to check my stability margins by evaluating the gain and phase margins of the system (yes, I use a classic frequency analysis design approach). Typically I calculate these margins and measure them using an analyzer. In most cases all checks out, but you could risk running into instability due to resonances that are not apparent in the 1st order model. Cheers from Denmark :-)

I'm now closer to understanding PiD settings ,before I had always guessed.Thank you.

Kevin, you are a great teacher and engineer, THANKS!!

Confident and Concise session. This knowledge is greatly appreciated. Good thing you had 5 boards at your disposal.

Fabulous Sir! Thanks a lot ABB service!🙌 Hope to get more informative videos at here!

Wow....That's the best explanation I've ever got about PID loops... Thanks a lot....

Thanks for the very informative and practical explanation.

Thank you for the info, it has definitely helped me understand the basic concept of tuning. Awesome video, thanks for sharing to the Automation world. By the way, i do love your VFD products. I have changed about 95% of our drives over to yours.

Thank you for taking out time for this wonderful explanation.

An absolutely brilliant video, very well explained!

Thank you. That was incredibly helpful.

that amazing :) so much important things explained in such easy way.

Although some people are very good at it: trial and error tuning should be avoided as much as possible. This is a very nice example to extract information out of process data for tuning loops with simple dynamics ..... However if you follow this instructions to the letter your proportional gain (Kc) will be most of the times not correct and you will not get the intended closed loop behavior. The proportional gain(Kc) should be based on the scaled process gain. So if you use in the calculations Kp*(Output_sf/PV_sf) then your result will be fine. If you use tool for this you have to give in the scale factors and the software takes care of everything. If you plan to do the calculations manually (which is not bad at all) then never forget to include the scaling.....Wrong (or no) scalings = Wrong tuning

This is the best PID video I’ve seen yet.

Thank you for share this with us. Excellent explanation. 👏👏👏👏😃

Great video ! Extremely Informative ! Thanks for sharing.

Thanks Kevin. Great stuff.

Excellent video, thanks !

Great video. Thanks for sharing.

Really great video on Tuning Fundamentals,,

This guy is a world class educator.

Very nice and informative, great work!

Good facilitator,very informative.

9:15 - Wow! I've been to engineering school and I never made that connection! Approximating τ as Δ/4 will be extremely useful to me into the foreseeable future! Thanks.

Very, very nice. Bravo and big thank you.

Excellent and most practical.

Crystal clear explanation.

That was really clear, practical and helpful. Thanks a lot.

wooow , no word can describe my thankness

very good explanation, Thanks

Thanks for sharing this lesson. best regards

thanks for this lucid explanation

I love this Videos! UFB Job!

ABB is the Best

Thanks. I felt like I was back in college learning stuff!

Good video and well explained!!

Super helpful thank you!

Excellent, very good explanation, my respects teacher ............... BRAVO ... !!!

thanks! though it is the tip of the iceberg, it is much helpful to my knowledge at work.

My man. Thank you!

Nicely Explained!

Great video. I just need to find a process to tune now.

Very informative video, thanks a lot. :D

thank you very much, it works

You're (or you are) a genius. I suppose you'd have to be a control nerd, as I am, to realize this, but excellent presentation.

This is really a nice video

This is a very good class

amazing! thank you.

superb . very informative..thanks for the video:)

Excellent video! :)

I get it now! Thank you.

Man..... you are my hero ;---;

thank man! You are genius man!

so much so quickly... excelent

123445687359324876234 videos, 6476354812364129876491386 research articles summarized in to just under 22 minutes! Great video, Great explanation. Thanks ABB

Very good teaching... Please also make a more video tutorial specs of PLC of what is about is in the marking .

I knew I was watching a genius at work when he converted a delta symbol to a 4 on the fly at 9:15 😉

Brilliant man

Great explanation, I’ll have to watch again. Only thing I’m not understanding is changing of set point as it relates to time. For example using temperature as units if changing from 72 to 78 vs 84. The function of time changes but I’m not sure how. Any ideas? Will watch again...I love how many whiteboards you have btw 😆

Video games: Stormworks uses a Parallel PID generally, From The Depths uses a Classical. I think

Really helpful

Sp validation is good. Also good to validate by load changing to see how fast pv return to sp.

Amazing

well done...Thankyou

thanks a lot sir

I'm going to need more whiteboards.

thanks so much sir...

Very Good ; Thanks

thanks a ton !!!

amazing

That's a very good video. The main reason, it starts from zero, lol. I'm tired of books that hit you with nuclear-physics looking stuff on page one! Talk to me like I'm stupid cause I am! 😂

so where and what value did you set the the P, the I, The D?

Thanks ！！！

Nice sir, we need more real time problen

Awesome.....

Exeptional explication, could you teach us how to tune a second order closed loopr response?, I love you man!!!!!

can u give lecture on differential pressure to steam flow cascade in distillation column . or suggest me any good book

Similar to the way I do it, but on some occasions unable to perform even a manual step so watching the response adjust accordingly plotting values to see how the gain changes with various output settings. What about showing when to use a feed-forward and looking at the plant to determine the best way to control not as individual PIDs plus combing more than one process variable into a single control valve.

GREAT

great video, good info, might need to sobriety check the camera guy tho..

Hello sir. I want to start with control systems design and PID so I can do advanced projects, can you recommend me a course or a book to start with ?

Great video Kevin! It did leave me with a few questions. At 5:00 and again at 7:50 you describe bump testing and write out a change in the process variable based on the change in the output. My question pertains to what is "output". I keep thinking that we should be watching for a change in output based on a change of input... So I'm interpreting you to mean that the change in the output, is the output controller (presumably in milliamps from 4 mA to 20 mA), which serves as input to the control valve or the pump speed that would create a change in flowrate (to pick an arbitrary, hypothetical process variable). Presumably this output (my input) is a number that you can get from the control system historian (DeltaV/Foxboro/Siemens PLC/DCS) or taking a measurement with a multimeter across the two wires to the control element. Is that correct?The process variable is undoubtedly measured and also available from the HMI or historian. My next question pertains to the equations for Standard, Parallel, and Classical PID algorithms. You showed to solve for Kp and Tp and how some of the other parameters (Kc, Ti, Td) could be solved for if one assumes a 1st order model. However you present these 3 equations for standard/parallel/classical with variable S, and never define what S is. Are those expressions supposed to be equal to something? Are you supposed to set these expressions equal to zero to find S?

How do you do! Please! Could you present video's ABB lst300. How to calibrate it!

Please create video for gain scheduling and also Feed forward

Smart guy

Wow it's just like designing a DC 'Resistor-Capacitor' Circuit.

Sir how we can design a PID controller for controlling the position of shaft which is supported by active magnetic bearing ?

Great ! But you didn't mention about the delay (dead time) potential issues, with a long delay, this tuning rule is much less efficient, but ok it works great in many cases.

@14:22 We will do change the setpoint in closed loop. But what the initial value of the PID parameters

Interesting

I think the sensor should be after the actuator. I know this is only flow, but flow is affected by the valve. It is only a negative feedback system.