Difference between revisions of "Control Systems Library for Python"

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This page collects some notes on a control systems library for Python.  The plan is to create an alternative to the MATLAB Control System Toolbox™ that can be used in courses and for research.
{{warning|The information on this page is out of date.  The most up-to-date information about python-control is available in the documentation that is distributed with the package.


== Architecture ==
'''[http://sourceforge.net/p/python-control/wiki/Home/ python-control home on SourceForge]'''


== Installation instructions ==
}}


Here's what I had to do to get all of this to work
<table width="100%">
# Install SciPy - I did this using fink.  Have to use the main/unstable tree.
<tr><td align=center>
# Install matplotlib - Need this for plotting
<font color='blue' size='+2'>Python Control Systems Library (python-control)</font></td></tr>
# Install ipython - interactive python interface
</table> __NOTOC__


Small snipped of code for testing if everything is installed
<br>
import from scipy *
{| style="float: right" width=30% border=1
import from matlibplot *
|-
a = zeros(1000)
|
a[:100]=1
==== Announcements ====
b = fft(a)
* The python-control user documentation has been shifted from SourceForge to MurrayWiki at Caltech.  Developer documentation remains on [http://python-control.sf.net SourceForge].
  plot(abs(b))
* Version 0.5a has been released: [http://sourceforge.net/mailarchive/message.php?msg_id=27912588 release notes], [http://sourceforge.net/projects/python-control/files/ file download]
show()
|}
The Python Control Systems Library, python-control, is a python package that implements basic operations for analysis and design of feedback control systems.
* [http://python-control.sourceforge.net/manual User manual] - Sphinx documentation for the python-control package
* [[http:sourceforge.net/p/python-control/wiki/Download/|Download]] - download and install the latest release of the package
* [[python-control/Example: Vertical takeoff and landing aircraft|Example: Vertical takeoff and landing aircraft]] - demonstration of package capabilities
* [https://lists.sourceforge.net/lists/listinfo/python-control-announce Announcements mailing list] - sign up to receive announcements about python-control
<!-- * [[http:sourceforge.net/p/python-control/wiki/Developer%20information/|Developer information]] - project information for active python-control developers -->
* [https://sourceforge.net/projects/python-control/ Project description page] - summary of all project information (SourceForge)


== Related documentation ==
=== Project Overview ===


=== Python documentation ===
The python-control package is a set of python classes and functions that implement common operations for the analysis and design of feedback control systems.  The initial goal is to implement all of the functionality required to work through the examples in the textbook ''[http://www.cds.caltech.edu/~murray/amwiki Feedback Systems]'' by &Aring;str&ouml;m and Murray.  A MATLAB compatibility package (control.matlab) is available that provides functions corresponding to the commands available in the MATLAB Control Systems Toolbox.
* [http://www.scipy.org/ SciPy.org] - main web site for SciPy
 
Here are some of the basic functions that are (or will be) available in the package:
* Linear input/output systems in state space and frequency domain (transfer functions)
* Block diagram algebra: serial, parallel and feedback interconnections
* Time response: initial, step, impulse (using the scipy.signal package)
* Frequency response: Bode and Nyquist plots
* Control analysis: stability, reachability, observability, stability margins
* Control design: eigenvalue placement, linear quadratic regulator
* Estimator design: linear quadratic estimator (Kalman filter)

Latest revision as of 21:11, 31 May 2015

WARNING: The information on this page is out of date. The most up-to-date information about python-control is available in the documentation that is distributed with the package.

python-control home on SourceForge

Python Control Systems Library (python-control)


Announcements

  • The python-control user documentation has been shifted from SourceForge to MurrayWiki at Caltech. Developer documentation remains on SourceForge.
  • Version 0.5a has been released: release notes, file download

The Python Control Systems Library, python-control, is a python package that implements basic operations for analysis and design of feedback control systems.

Project Overview

The python-control package is a set of python classes and functions that implement common operations for the analysis and design of feedback control systems. The initial goal is to implement all of the functionality required to work through the examples in the textbook Feedback Systems by Åström and Murray. A MATLAB compatibility package (control.matlab) is available that provides functions corresponding to the commands available in the MATLAB Control Systems Toolbox.

Here are some of the basic functions that are (or will be) available in the package:

  • Linear input/output systems in state space and frequency domain (transfer functions)
  • Block diagram algebra: serial, parallel and feedback interconnections
  • Time response: initial, step, impulse (using the scipy.signal package)
  • Frequency response: Bode and Nyquist plots
  • Control analysis: stability, reachability, observability, stability margins
  • Control design: eigenvalue placement, linear quadratic regulator
  • Estimator design: linear quadratic estimator (Kalman filter)