Updated documentation on vehicle param file
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@@ -11,7 +11,7 @@ Notes:
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"""
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import numpy as np
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d = 0.043
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d = 0.043 # Arm length
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quad_params = {
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@@ -26,12 +26,6 @@ quad_params = {
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# Geometric properties, all vectors are relative to the center of mass.
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'num_rotors': 4, # for looping over each actuator
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# 'rotor_pos': {
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# 'r1': np.array([0.046, 0, 0]), # Location of Rotor 1, meters
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# 'r2': np.array([0, 0.046, 0]), # Location of Rotor 2, meters
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# 'r3': np.array([-0.046, 0, 0]), # Location of Rotor 3, meters
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# 'r4': np.array([0, -0.046, 0]), # Location of Rotor 4, meters
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# },
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'rotor_pos': {
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'r1': d*np.array([ 0.70710678118, 0.70710678118, 0]), # Location of Rotor 1, meters
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'r2': d*np.array([ 0.70710678118,-0.70710678118, 0]), # Location of Rotor 2, meters
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@@ -9,7 +9,7 @@ Notes:
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"""
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import numpy as np
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d = 0.17
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d = 0.17 # Arm length
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quad_params = {
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@@ -42,17 +42,16 @@ quad_params = {
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'c_Dz': 1e-2, # parasitic drag in body z axis, N/(m/s)**2
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# Rotor properties
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# See "System Identification of the Crazyflie 2.0 Nano Quadrocopter", Forster 2015.
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'k_eta': 5.57e-06, # thrust coefficient N/(rad/s)**2
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'k_m': 1.36e-07, # yaw moment coefficient Nm/(rad/s)**2
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'k_d': 1.19e-04, # rotor drag coefficient N/(rad*m/s**2) = kg/rad
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'k_z': 2.32e-04, # induced inflow coefficient N/(rad*m/s**2) = kg/rad
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'k_z': 2.32e-04, # induced inflow coefficient N/(rad*m/s**2) = kg/rad
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'k_flap': 0.0, # Flapping moment coefficient Nm/(rad*m/s**2) = kg*m/rad
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# Motor properties
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'tau_m': 0.005, # motor response time, seconds
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'tau_m': 0.005, # motor response time, seconds
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'rotor_speed_min': 0, # rad/s
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'rotor_speed_max': 1500, # rad/s
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'motor_noise_std': 50, # rad/s
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'motor_noise_std': 50, # rad/s
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}
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