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Symbolic computation of a quadcopter model
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# see here for model: https://www.cggonzalez.com/blog/model.html | |
from sympy import symbols, init_printing, Matrix, sin, cos, tan | |
init_printing() | |
x_dot, y_dot, z_dot = symbols("x_dot y_dot z_dot") | |
phi, theta, psi = symbols("phi theta psi") | |
phi_dot, theta_dot, psi_dot = symbols("phi_dot theta_dot psi_dot") | |
p, q, r = symbols("p q r") | |
tau_phi, tau_theta, tau_psi, f_t = symbols("tau_phi tau_theta tau_psi f_t") | |
m, g = symbols("m g") | |
I_x, I_y, I_z = symbols("I_x I_y I_z") | |
nu, nu_dot = symbols("nu nu_dot") | |
x_dot_dot = f_t * (cos(psi)*sin(theta)*cos(phi) + sin(psi)*sin(phi)) / m | |
y_dot_dot = f_t * (sin(psi)*sin(theta)*cos(phi) - cos(psi)*sin(phi)) / m | |
z_dot_dot = (f_t * cos(theta)*cos(phi) / m) - g | |
nu = Matrix([[p], [q], [r]]) | |
nu_dot = Matrix([[(I_y - I_z) * q * r / I_x + tau_phi / I_x], | |
[(I_z - I_x) * p * r / I_y + tau_theta / I_y], | |
[(I_x - I_y) * p * q / I_z + tau_psi / I_z]]) | |
nu_transformation_zero_one = phi_dot*cos(phi)*tan(theta) + theta_dot * sin(phi) / cos(theta)**2 | |
nu_transformation_zero_two = -1 * phi_dot * sin(phi) * cos(theta) + theta_dot * cos(phi) / cos(theta)**2 | |
nu_transformation_one_one = -1 * phi_dot * sin(phi) | |
nu_transformation_one_two = -1 * phi_dot * cos(phi) | |
nu_transformation_two_one = phi_dot * cos(phi) / cos(theta) + phi_dot * sin(phi) * tan(theta) / cos(theta) | |
nu_transformation_two_two = -1 * phi_dot * sin(phi) / cos(theta) + theta_dot * cos(phi) * tan(theta) / cos(theta) | |
nu_transformation = Matrix([[0, nu_transformation_zero_one, nu_transformation_zero_two], | |
[0, nu_transformation_one_one, nu_transformation_one_two], | |
[0, nu_transformation_two_one, nu_transformation_two_two]]) | |
body_to_world_transformation = Matrix([[1, sin(phi) * tan(theta), cos(phi) * tan(theta)], | |
[0, cos(phi), -1*sin(phi)], | |
[0, sin(phi) / cos(theta), cos(phi) / cos(theta)]]) | |
attitude = nu_transformation * nu + body_to_world_transformation * nu_dot | |
phi_dot_dot, theta_dot_dot, psi_dot_dot = attitude[0, 0], attitude[1, 0], attitude[2, 0] | |
# final result | |
X_dot = Matrix([[x_dot], | |
[y_dot], | |
[z_dot], | |
[phi_dot], | |
[theta_dot], | |
[psi_dot], | |
[x_dot_dot], | |
[y_dot_dot], | |
[z_dot_dot], | |
[phi_dot_dot], | |
[theta_dot_dot], | |
[psi_dot_dot]]) |
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