Control system design

What Hacker News says

1. TheHideoutApr 2023
   From a control system perspective:

   Nise - Control Systems Engineering: https://www.amazon.com/Control-Systems-Engineering-Norman-Ni...

   Friedland - Control System Design: https://www.amazon.com/Control-System-Design-Introduction-St...

   thread
2. cashsterlingJan 2022
   I really like the Control System Bootcamp videos by Prof. Steve Brunton on youtube: https://www.youtube.com/watch?v=Pi7l8mMjYVE&list=PLMrJAkhIeN...

   Good book's to accompany the videos are: - linear systems theory by Joao Hespanha (has some MATLAB code) - Linear state-space control systems by Willams and Lawrence (has some MATLAB code) - Control system design by Bernard Friedland (20 usd dover paperback available) - Data-Driven Science & Engineering by Steve Brunton (video guy above) and Kutz

   Some other interesting books: - Control system engineering: design and implementation using ARM Cortex-M Micro-controllers (some MATLAB and C code) - Linear Feedback Control: analysis and design with MATLAB by Xue, Chen and Atherton (MATLAB, obviously)

   ...a lot basic MATLAB control system functions are also available in Octave, Scilab, Python, and Julia packages

   Show morethread
3. tobinfrickeMay 2020
   PID is popular because it has only three tunable parameters, and you can kind of just turn the knobs until it works. :-)

   For a more systematic design, construct a simple mathematical model of your plant. If nothing else, this will allow you to run faster-than-realtime simulations to experiment with parameters. (Thermal time constants are typically annoyingly slow to fiddle with in real time.)

   Simulink is an ideal tool for this, but you can just as well use Python or C++. One way to do it is to structure your model as a differential equation and then use a solver to integrate it.

   There are several typical lines of attack. Write the plant either as a transfer function and then think about poles and zeros. Write it as coupled first-order linear differential equations and think about state space.

   "Feedback systems: An intro for scientists and engineers" by Åstrom and Murray is a popular introductory text. "Feedback control of dynamic systems" by Franklin and Powell is a superb, slightly more advanced college textbook. (The current edition is wildly expensive but older editions are just as good and nearly free.) I also like "Control System Design: An Intro to State-Space Methods" by Friedland (an inexpensive paperback published by Dover).

   Show morethread