Matavecontrol V7.0

Matavecontrol is a basic toolbox for control engineering. The toolbox can be used for both GNU Octave and MATLAB®. Easy to use and easy to install. The main focus on matavecontrol is to offer a control toolbox which can be used in both GNU Octave and MATLAB®. Matavecontrol has the same function names as MATLAB®'s Control System ToolBox, but the time discrete functions are included in the time continuous functions. Also the library is a very basic library so other developers can fast dive into the code.

Caution

Installing GNU Octave's Control-Toolbox or MATLAB's Control-Toolbox/System Identification Toolbox WILL cause problems with MataveID & MataveControl because they are using the same function names.

Typical use

To use Matavecontrol, you should allways start with to create a transfer function or a state space model. Then you can use that mathematical model in almost all the function of Matavecontrol.

Here is some examples when I use Matavecontrol. MATLAB pictures are from Umeå University.

Creating a transfer function in MATLAB®

Creating a transfer function in GNU Octave

Create a bode diagram plot in MATLAB®

Create a bode diagram plot in GNU Octave

Create a state space model in MATLAB®

Create a state space model in GNU Octave

Do a step simulation in MATLAB®

Do a step simulation in GNU Octave

Convert a time continuous transfer function to a discrete transfer function in MATLAB®

Convert a time continuous transfer function to a discrete transfer function in GNU Octave

Do a nyquist diagram plot in MATLAB®

Do a nyquist diagram plot in GNU Octave

Model Predictive Control - Linear programming

Here I use MPC with linear programming. I used to use MPC with a quadratic programming, but unfortunately quadprog is only available for MATLAB and you need to have a license for that. So I wrote my own linear programming MPC with regularization for smoother outputs and inputs. The linear programming algorithm is available in C code as well in my other projects for embedded MPC systems, and that's the main reason why I selected a simple optimization solver instead of a large and difficult one.

Install

To install Matavecontrol, download the folder "sourcecode" and place it where you want it. Then the following code need to be written in the terminal of your MATLAB® or GNU Octave program.

path('path/to/the/sourcecode/folder/where/all/matave/files/are/matavecontrol', path)
savepath

Example:

path('/home/hp/Dokument/Reglerteknik/matavecontrol', path)
savepath

Important! All the .m files need to be inside the folder matavecontrol if you want the update function to work.

Update

Write this inside the terminal. Then Matavecontrol is going to download new .m files to matavecontrol from GitHub

updatematavecontrol