The name sounds basic but I am actually targeting control professionals and
those with math skills to understand the math behind the control theory.
This channel is NOT YET ANOTHER this gain does this and that gain does that
channel. This channel is not meant for the "tweak gains and drink coffee"
people either. I want to provide insight that many control books don't pr
ovide because my approach is based on symbolic math instead of arrays of nu
If you don't understand Laplace transforms and differential equations don't
bother. My analytics tell me that most people bail out probably because t
hey don't understand the math. Those that stay and understand give thumbs u
My main emphasis is on:
1. System Identification. Text books seem to think the plant transfer fun
ction is know when in reality I have NEVER seen a system supplied with a tr
ansfer function. All the stuff the text books cover is useless until you h
ave the plant transfer function.
2. Pole placement. Tuning should be done "backwards". Instead of tweaking
gains an looking at the results one should pick the desired response, wher
e the poles should be to achieve that response and calculate the controller
gains to place the closed loop poles at the desired location.
3. Model based/observer based control. The main purpose is to estimate the
first, second and even third derivative of the process variable if needed.
I am a little irreverent towards instructors that teach control theory the
same old way they have been taught. Much of what they teach may be right bu
t useless in real world applications.
Delta Computer Systems, Inc.