i have to say that you saved me! we did tests in a lab and unfortunately i didint have enough time to play with the parameters enough to understand what was happening, you solved the problem for me!
This is great. Thanks for sharing your knowledge in such a calm and informative way. I've been looking at PID controller apps on the web but this is by far the best what of doing it, constructing my own controller in real time with you. One thing I've failed to find so far on youtube is a video showing the complete process of designing and implementing a control system for a real system, from deriving the ODEs of the system to a physical working plant. Also; do you know of a way to embed Matlab code into Labview code to control a NI driven system? Like having a Matlab PID controller embedded into a Labview motor controller vi. Anyway, awesome vid. Cheers, Dom.
I still did not understand why you prefer saying 'introducing higher harmonics' over 'damping out'. Can you explain the former more elaborately? Thank you.
When I use simulink to create P and Pi controllers for function it matches this. But once I have a PID third order system the view in the scope and the code generated one here don't match. Any idea why?
All I see is tweaking gains and looking at the results. What will these students do when they see the next system? Tweak gains and look at the results. The controller gains can be calculated to get a desired response. There is no need for trial and error. Students don't know any better. They don't realize the video only scratches the surface. The video is good for technicians but engineers should go much deeper into this topic. How do you know the gains you chose don't saturate the control output? Matlab doesn't care but real systems do. Tuning the 3rd order system at the end is much harder to do by trial and error. A simple PID will work but not well. My hint is to use pole placement and don't be surprised if the result is 4 gains. Matlab should be able to do this but getting the answer without understanding is a shame. Solving these problems symbolically provide true insight. The best solution I could find for the last 3rd order solution was Ki=1.03 Kp=1.17 Kd=0.556. The results still are not very good relative to using the PID with second derivative gain.
buddy,,,pid, kalman, wavelet and fft, transistors chrcterstcs, viola jones, ofdm,........aaah,,how many things a person can understant in whole life....
where can i expand my knowledge bout the d part? I get why it brings higher frequency into the system but what I didnt understand is how this results in reducing the oscillation in the step response. I know that an answer has been given in the video but apparently my control system knowledge is not sufficient enough. Help is much appreciated:)
THank you for your video, its helpful.. I want to ask if you can help me with a qusestion about designing a PID controller. It look like the example you showed in the video, but I have more details I should add, and dont know how to do it. If you can help me please write me your email adress and then I will contact you there, thank you in advance