A Python package for system dynamics and control systems utilities (using numpy, sympy, and control)
This package now published on PyPI and can be installed with
pip install dysysTo import the package into a script, use
import dysys as dsCreate a symbolic state-space model:
A = [[-4, -3, 0], [0, -8, 4], [0, 0, -1]]
B = [[0], [1], [0]]
C = [[0, 1, 0]]
D = [[0]]
sys = ds.sss(A, B, C, D) # Create a symbolic state-space modelimport dysys as ds
import control
import matplotlib.pyplot as pltDefine a transfer function using the dysys package as follows:
H = ds.tf(
[1_000_000, 300_000_000], # Numerator coef's
[1, 1030, 40200, 10_300_000, 100_000_000] # Denominator coef's
)Get a list of transfer functions that are the canonical factors of H{.py}:
factors = H.factor_canonical(check=True) # Check that the factors are correctPrint the factors:
for factor in factors:
print(factor)
Generate a Bode plot:
control.bode_plot([H] + factors, dB=True, wrap_phase=True)
plt.gcf().legend(
list(map(lambda x: x._repr_latex_()[1:-1], [H] + factors)),
loc="outside center right",
)
plt.show()
If you have issues, please report them on the issues page.
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