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crafts.py
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crafts.py
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#!/usr/bin/env python3
"""
Turns quadrotor physical data into a few matrices for fast simulations
Copyright (C) 2024 Till Blaha -- TU Delft
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
import numpy as np
class Rotor:
def __init__(self, x=[0., 0., 0.], wmax=4000., Tmax=4., k=0., cm=0.01, tau=0.03, Izz=1e-6, dir='cw'):
self.x = np.asarray(x)
self.wmax = wmax
self.Tmax = Tmax
self.k = k
self.cm = cm
self.tau = tau
self.Izz = Izz
self.dir = -1. if dir=='cw' else +1.
class QuadRotor:
def __init__(self):
self.rotors = []
self.M = np.eye(4)
def setInertia(self, m, I):
self.M[0,0] = m
self.M[1:,1:] = I
def fillArrays(self, idx, G1, G2, omegaMax, tau):
omegaMax[idx][:] = [r.wmax for r in self.rotors]
tau[idx][:] = [r.tau for r in self.rotors]
G1[idx][0, :] = [-r.Tmax for r in self.rotors]
G1[idx][1:, :] = np.array([r.Tmax*np.cross(r.x, np.array([0, 0, -1.])) for r in self.rotors]).T
G1[idx][3, :] = [r.Tmax*r.cm*r.dir for r in self.rotors]
G1[idx][:] = np.linalg.inv(self.M) @ G1[idx]
G1[idx][:] /= (omegaMax[idx]*omegaMax[idx])[:, np.newaxis]
G2[idx][0, :] = [r.Izz/self.M[3,3]*r.dir for r in self.rotors]
if __name__=="__main__":
q = QuadRotor()
q.setInertia(0.42, 1e-3*np.eye(3))
q.rotors.append(Rotor([-0.1, 0.1, 0], dir='cw'))
q.rotors.append(Rotor([0.1, 0.1, 0], dir='ccw'))
q.rotors.append(Rotor([-0.1, -0.1, 0], dir='ccw'))
q.rotors.append(Rotor([0.1, -0.1, 0], dir='cw'))
G1 = np.empty((2, 4, 4))
G2 = np.empty((2, 1, 4))
wm = np.empty((2, 4))
tau = np.empty((2, 4))
q.fillArrays(0, G1, G2, wm, tau)