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CER Demo 1
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from functools import reduce | |
from math import cos, sin, pi | |
import numpy as np | |
def rad(theta): | |
""" | |
Grad in Radiane umwandeln und zurückgeben | |
""" | |
return theta * pi / 180 | |
def Rz(theta): | |
""" | |
Rotationmatrix um die z-Achse berechnen | |
""" | |
return np.array(((cos(theta), -sin(theta), 0), (sin(theta), cos(theta), 0), (0, 0, 1))) | |
def gen_T(Rot, r): | |
""" | |
Transformationsmatrix aus Rotationsmatrix Rot und | |
Vektor r konstruieren und zurückgeben | |
""" | |
return np.array(((Rot, r), (0, 1)), dtype=object) | |
def single_transf(T0, T1): | |
""" | |
T.matrizen multiplizieren | |
""" | |
Rot0, Rot1 = T0[0][0], T1[0][0] | |
r0, r1 = T0[0][1], T1[0][1] | |
return gen_T((Rot0 @ Rot1), (Rot0 @ r1 + r0)) | |
def transf(T_list): | |
""" | |
Transoformation belieber Länge durchführen | |
""" | |
i_matrix = gen_T(np.identity(3), np.array([[0,0,0]]).T) | |
return reduce(single_transf, T_list, i_matrix) | |
# einige Größen initialisieren | |
l1 = np.array([[40.0,0,0]]).T | |
l2 = np.array([[20.0,0,0]]).T | |
l3 = np.array([[30.0,0,0]]).T | |
q1 = rad(60) | |
q2 = rad(225) | |
q3 = rad(90) | |
# Rotations- und Transformationsmatrizen berechnen | |
R01, R12, R23 = Rz(q1), Rz(q2), Rz(q3) | |
T01 = gen_T(R01, R01 @ l1) | |
T12 = gen_T(R12, R12 @ l2) | |
T23 = gen_T(R23, R23 @ l3) | |
# Transformation durchführen | |
transf([T01, T12, T23]) |
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