pyControlToolbox 0.2.1

Package for simulation and design of control systems

PyControl

Python library for simulating and designing control systems. Available on PyPi under the name pyControlToolbox. The backbone of the library is numpy (for matrix operations) and matplotlib (for plots).

unfortunately pyControl was already taken by project not even related to control systems

Functionalities

State space and transfer function model declaration

from PyControl.models import *
numerator = [1, 2, 3]
denominator = [4, 5, 6, 7]
tfSystem = tf(numerator, denominator)

A = [[2, 5.4],
	[1.85, 3]]
B = [1.12, 3.14]
C = [1, 0]
D = [0]
ssSystem = ss(A, B, C, D)
print(tfSystem)
print(ssSystem)

Step and impulse response simulation

from PyControl.models import *

A = [[-1, 2],
	[0, -1]]
B = [1, 2]
C = [1, 1]
D = [0]
ssSystem = ss(A, B, C, D)
step(ssSystem, plot=True)

Output:

from PyControl.models import *

A = [[-4, 0],
	[1.5, -2.1]]
B = [1, 5]
C = [3.2, 1]
D = [0]
ssSystem = ss(A, B, C, D)
pulse(ssSystem, plot=True)

Output:

Phase portrait plotting

from PyControl.models import *

A = [[-1, 2],
	[0, -1]]
B = [1, 2]
C = [1, 1]
D = [0]
ssSystem = ss(A, B, C, D)
phasePortrait(ssSystem, t=10)

Output: