Loved the practical demo with explanation! ❤️ Day by day increasing my intuitive knowledge along with mathematical stuff needed for understanding and designing control systems! Thank you Brian and Matlab team!
Excellent Lecture! Have you considered working on some examples of HWIL with Arduino + Matlab? This will be beneficial for us doing research in controls and embedded systems and how we can benefit from these capabilities. Thanks for all the work you do!
Tutorial requests 🙏🏻 In practical, we are not easy to model a system as the systems are too complex. Would u teach us how to use system estimation in Matlab so that we may apply pole placement(eg LQR) to control the system?
Brian, I enjoy your control videos. But the Feed Forward block is not consistent with your earlier video. Showing earlier is the Feed Forward (which is ab approx inverse plant function) directly connected to the plant input. There is no delay to the plant its a direct command that compensate for future disturbance. Now you are showing the Feed forward applied as a reference to the FB loop. Which is delayed by the feed back delay. Plase
I believe the term feedforward control is appropriate for any kind of control technique that does not alter the feedback loop (denominator of the closed loop transfer function stays the same).
Is it a good solution? With Notch-Filter in feed-forward path we effectively block the frequency 9.7rad/s from driving this system. Effectively the controller can not work with this frequency stimulation.
What a good solution is depends on your requirements. I agree that you can't drive the system at that frequency with that set up - is that good or bad? Depends on what you're trying to do!
It doesn't matter where you place the filter since it's a linear system right? So in the end it's always going to be a multiplication of transfer functions.
