def exercise_system_model_with_zero_dof_body():
bodies = [zero_dof_body(), revolute_body(parent=0)]
body_lib.set_cb_tree(bodies=bodies)
model = featherstone.system_model(bodies=bodies)
assert approx_equal(model.e_kin(), 0.0202765671829)
assert approx_equal(model.qd_e_kin_scales(), [1.334309])
#
qdd = matrix.col_list([(), (0.14, )])
f_ext = matrix.col_list([(-0.10, 0.30, -0.01, -0.01, 0.01, 0.06),
(-0.11, 0.03, -0.07, -0.11, 0.06, 0.08)])
grav_accn = matrix.col((0.02, -0.13, 0.15, 0.26, -0.16, 0.14))
#
tau = model.inverse_dynamics(qdd_array=qdd)
assert approx_equal(tau, [(), (0.15726977316344815, )])
qdd2 = model.forward_dynamics_ab(tau_array=tau)
assert approx_equal(qdd2, qdd)
#
tau = model.inverse_dynamics(qdd_array=qdd, f_ext_array=f_ext)
assert approx_equal(tau, [(), (0.22726977316344815, )])
qdd2 = model.forward_dynamics_ab(tau_array=tau, f_ext_array=f_ext)
assert approx_equal(qdd2, qdd)
#
tau = model.inverse_dynamics(qdd_array=qdd,
f_ext_array=f_ext,
grav_accn=grav_accn)
assert approx_equal(tau, [(), (0.59601742875022201, )])
qdd2 = model.forward_dynamics_ab(tau_array=tau,
f_ext_array=f_ext,
grav_accn=grav_accn)
assert approx_equal(qdd2, qdd)
#
new_q = [
body.joint.time_step_position(qd=body.qd, delta_t=0.01).get_q()
for body in model.bodies
]
assert approx_equal(new_q, [(), (0.2581, )])
new_qd = [
body.joint.time_step_velocity(qd=body.qd, qdd=qdd_i, delta_t=0.01)
for body, qdd_i in zip(model.bodies, qdd)
]
assert approx_equal(new_qd, [(), (-0.1886, )])
for body, q in zip(model.bodies, [(), (13, )]):
assert approx_equal(body.joint.new_q(q=q).get_q(), q)
#
qdd = []
for body in model.bodies:
body.qd = body.joint.qd_zero
qdd.append(body.joint.qdd_zero)
model.flag_velocities_as_changed()
tau = model.inverse_dynamics(qdd_array=qdd, f_ext_array=f_ext)
assert approx_equal(tau, [(), (0.07, )])
tau0 = model.f_ext_as_tau(f_ext_array=f_ext)
assert approx_equal(tau0, tau)
def exercise_system_model_with_zero_dof_body():
bodies = [
zero_dof_body(),
revolute_body(parent=0)]
body_lib.set_cb_tree(bodies=bodies)
model = featherstone.system_model(bodies=bodies)
assert approx_equal(model.e_kin(), 0.0202765671829)
assert approx_equal(model.qd_e_kin_scales(), [1.334309])
#
qdd = matrix.col_list([
(),
(0.14,)])
f_ext = matrix.col_list([
(-0.10, 0.30, -0.01, -0.01, 0.01, 0.06),
(-0.11, 0.03, -0.07, -0.11, 0.06, 0.08)])
grav_accn = matrix.col((0.02, -0.13, 0.15, 0.26, -0.16, 0.14))
#
tau = model.inverse_dynamics(qdd_array=qdd)
assert approx_equal(tau, [
(),
(0.15726977316344815,)])
qdd2 = model.forward_dynamics_ab(tau_array=tau)
assert approx_equal(qdd2, qdd)
#
tau = model.inverse_dynamics(qdd_array=qdd, f_ext_array=f_ext)
assert approx_equal(tau, [
(),
(0.22726977316344815,)])
qdd2 = model.forward_dynamics_ab(tau_array=tau, f_ext_array=f_ext)
assert approx_equal(qdd2, qdd)
#
tau = model.inverse_dynamics(
qdd_array=qdd, f_ext_array=f_ext, grav_accn=grav_accn)
assert approx_equal(tau, [
(),
(0.59601742875022201,)])
qdd2 = model.forward_dynamics_ab(
tau_array=tau, f_ext_array=f_ext, grav_accn=grav_accn)
assert approx_equal(qdd2, qdd)
#
new_q = [
body.joint.time_step_position(qd=body.qd, delta_t=0.01).get_q()
for body in model.bodies]
assert approx_equal(new_q, [
(), (0.2581,)])
new_qd = [
body.joint.time_step_velocity(qd=body.qd, qdd=qdd_i, delta_t=0.01)
for body,qdd_i in zip(model.bodies, qdd)]
assert approx_equal(new_qd, [
(),
(-0.1886,)])
for body,q in zip(model.bodies, [(),(13,)]):
assert approx_equal(body.joint.new_q(q=q).get_q(), q)
#
qdd = []
for body in model.bodies:
body.qd = body.joint.qd_zero
qdd.append(body.joint.qdd_zero)
model.flag_velocities_as_changed()
tau = model.inverse_dynamics(qdd_array=qdd, f_ext_array=f_ext)
assert approx_equal(tau, [
(),
(0.07,)])
tau0 = model.f_ext_as_tau(f_ext_array=f_ext)
assert approx_equal(tau0, tau)
def exercise_system_model():
bodies = [
six_dof_body(),
spherical_body(),
revolute_body(parent=1),
translational_body()
]
body_lib.set_cb_tree(bodies=bodies)
model = featherstone.system_model(bodies=bodies)
assert approx_equal(model.e_kin(), 5.10688665235)
assert approx_equal(model.qd_e_kin_scales(), [
0.1036643, 0.1054236, 0.1187526, 0.5773503, 0.5773503, 0.5773503,
0.1749883, 0.2830828, 0.2225619, 1.334309, 1.414214, 1.414214, 1.414214
])
#
qdd = matrix.col_list([(-0.04, 0.05, 0.23, -0.01, -0.08, 0.04),
(0.08, -0.08, -0.01), (0.14, ),
(-0.01, -0.34, 0.28)])
f_ext = matrix.col_list([(-0.10, 0.30, -0.01, -0.01, 0.01, 0.06),
(0.28, 0.09, 0.14, 0.23, 0.00, 0.07),
(-0.11, 0.03, -0.07, -0.11, 0.06, 0.08),
(-0.16, 0.14, -0.33, 0.35, -0.02, -0.20)])
grav_accn = matrix.col((0.02, -0.13, 0.15, 0.26, -0.16, 0.14))
#
qdd0 = [(0, 0, 0, 0, 0, 0), (0, 0, 0), (0, ), (0, 0, 0)]
for qdd_array in [None, qdd0]:
tau = model.inverse_dynamics(qdd_array=qdd_array)
assert approx_equal(
tau,
[(3.0067673409496019, -1.9747070164103167, -0.96510418705493095,
0.62119145987365987, 0.79528549692226591, 0.50582706679253908),
(-3.5089966946778439, 0.85280077414986188, -1.1466929846982585),
(-0.68035016279655447, ), (0.0, 0.0, 0.0)])
qdd2 = model.forward_dynamics_ab(tau_array=tau)
assert approx_equal(qdd2, qdd0)
#
tau = model.inverse_dynamics(qdd_array=qdd)
assert approx_equal(tau, [(-28.4935967396, -13.9449610757, 37.119813341,
3.09036984758, -3.29209848977, 1.51871803584),
(22.0723956539, 1.85204188959, -1.96550741514),
(0.526685445884, ), (-0.01, -0.34, 0.28)])
qdd2 = model.forward_dynamics_ab(tau_array=tau)
assert approx_equal(qdd2, qdd)
#
tau = model.inverse_dynamics(qdd_array=qdd, f_ext_array=f_ext)
assert approx_equal(tau, [(-28.2069898504, -14.1650076325, 38.2656278316,
3.24402886492, -3.30833610224, 1.36344785723),
(22.6135703212, 2.25806832722, -2.77922603881),
(0.596685445884, ), (-0.36, -0.32, 0.48)])
qdd2 = model.forward_dynamics_ab(tau_array=tau, f_ext_array=f_ext)
assert approx_equal(qdd2, qdd)
#
tau = model.inverse_dynamics(qdd_array=qdd,
f_ext_array=f_ext,
grav_accn=grav_accn)
assert approx_equal(tau, [(29.0716177639, 1.548329665, -9.90799285557,
-2.51132634591, 5.78686348626, -3.77518591503),
(-4.70390288163, -1.2432778965, 1.1909533225),
(-0.354638347024, ),
(0.54782, -0.17957, 0.16733)])
qdd2 = model.forward_dynamics_ab(tau_array=tau,
f_ext_array=f_ext,
grav_accn=grav_accn)
assert approx_equal(qdd2, qdd)
#
new_q = [
body.joint.time_step_position(qd=body.qd, delta_t=0.01).get_q()
for body in model.bodies
]
assert approx_equal(new_q,
[(0.18036749, 0.36210928, 0.54329229, -0.7356480,
-0.10189282, 0.29788946, 0.2020574),
(-0.50329486, -0.33273860, 0.67548709, -0.4239072),
(0.2581, ), (-0.1005, 0.2981, 0.2029)])
new_qd = [
body.joint.time_step_velocity(qd=body.qd, qdd=qdd_i, delta_t=0.01)
for body, qdd_i in zip(model.bodies, qdd)
]
assert approx_equal(new_qd,
[(0.1796, -0.0195, -0.1577, -0.0501, -0.1908, 0.2904),
(0.1208, -0.0808, 0.1099), (-0.1886, ),
(-0.0501, -0.1934, 0.2928)])
for body, q in zip(model.bodies, [(1, 2, 3, 4, 5, 6, 7), (8, 9, 10, 11),
(12, )]):
assert approx_equal(body.joint.new_q(q=q).get_q(), q)
#
qdd = []
for body in model.bodies:
body.qd = body.joint.qd_zero
qdd.append(body.joint.qdd_zero)
model.flag_velocities_as_changed()
tau = model.inverse_dynamics(qdd_array=qdd, f_ext_array=f_ext)
assert approx_equal(tau,
[(0.286606889188, -0.220046556736, 1.14581449056,
0.153659017347, -0.0162376124727, -0.155270178613),
(0.541174667239, 0.406026437633, -0.813718623664),
(0.07, ), (-0.35, 0.02, 0.2)])
tau0 = model.f_ext_as_tau(f_ext_array=f_ext)
assert approx_equal(tau0, tau)
def exercise_system_model():
bodies = [
six_dof_body(),
spherical_body(),
revolute_body(parent=1),
translational_body()]
body_lib.set_cb_tree(bodies=bodies)
model = featherstone.system_model(bodies=bodies)
assert approx_equal(model.e_kin(), 5.10688665235)
assert approx_equal(model.qd_e_kin_scales(), [
0.1036643, 0.1054236, 0.1187526, 0.5773503, 0.5773503, 0.5773503,
0.1749883, 0.2830828, 0.2225619,
1.334309,
1.414214, 1.414214, 1.414214])
#
qdd = matrix.col_list([
(-0.04,0.05,0.23,-0.01,-0.08,0.04),
(0.08,-0.08,-0.01),
(0.14,),
(-0.01, -0.34, 0.28)])
f_ext = matrix.col_list([
(-0.10, 0.30, -0.01, -0.01, 0.01, 0.06),
(0.28, 0.09, 0.14, 0.23, 0.00, 0.07),
(-0.11, 0.03, -0.07, -0.11, 0.06, 0.08),
(-0.16, 0.14, -0.33, 0.35, -0.02, -0.20)])
grav_accn = matrix.col((0.02, -0.13, 0.15, 0.26, -0.16, 0.14))
#
qdd0 = [
(0,0,0,0,0,0),
(0,0,0),
(0,),
(0,0,0)]
for qdd_array in [None, qdd0]:
tau = model.inverse_dynamics(qdd_array=qdd_array)
assert approx_equal(tau, [
(3.0067673409496019, -1.9747070164103167, -0.96510418705493095,
0.62119145987365987, 0.79528549692226591, 0.50582706679253908),
(-3.5089966946778439, 0.85280077414986188, -1.1466929846982585),
(-0.68035016279655447,),
(0.0, 0.0, 0.0)])
qdd2 = model.forward_dynamics_ab(tau_array=tau)
assert approx_equal(qdd2, qdd0)
#
tau = model.inverse_dynamics(qdd_array=qdd)
assert approx_equal(tau, [
(-28.4935967396, -13.9449610757, 37.119813341,
3.09036984758, -3.29209848977, 1.51871803584),
(22.0723956539, 1.85204188959, -1.96550741514),
(0.526685445884,),
(-0.01,-0.34,0.28)])
qdd2 = model.forward_dynamics_ab(tau_array=tau)
assert approx_equal(qdd2, qdd)
#
tau = model.inverse_dynamics(qdd_array=qdd, f_ext_array=f_ext)
assert approx_equal(tau, [
(-28.2069898504, -14.1650076325, 38.2656278316,
3.24402886492, -3.30833610224, 1.36344785723),
(22.6135703212, 2.25806832722, -2.77922603881),
(0.596685445884,),
(-0.36,-0.32,0.48)])
qdd2 = model.forward_dynamics_ab(tau_array=tau, f_ext_array=f_ext)
assert approx_equal(qdd2, qdd)
#
tau = model.inverse_dynamics(
qdd_array=qdd, f_ext_array=f_ext, grav_accn=grav_accn)
assert approx_equal(tau, [
(29.0716177639, 1.548329665, -9.90799285557,
-2.51132634591, 5.78686348626, -3.77518591503),
(-4.70390288163, -1.2432778965, 1.1909533225),
(-0.354638347024,),
(0.54782, -0.17957, 0.16733)])
qdd2 = model.forward_dynamics_ab(
tau_array=tau, f_ext_array=f_ext, grav_accn=grav_accn)
assert approx_equal(qdd2, qdd)
#
new_q = [
body.joint.time_step_position(qd=body.qd, delta_t=0.01).get_q()
for body in model.bodies]
assert approx_equal(new_q, [
(0.18036749, 0.36210928, 0.54329229, -0.7356480,
-0.10189282, 0.29788946, 0.2020574),
(-0.50329486, -0.33273860, 0.67548709, -0.4239072),
(0.2581,),
(-0.1005, 0.2981, 0.2029)])
new_qd = [
body.joint.time_step_velocity(qd=body.qd, qdd=qdd_i, delta_t=0.01)
for body,qdd_i in zip(model.bodies, qdd)]
assert approx_equal(new_qd, [
(0.1796, -0.0195, -0.1577, -0.0501, -0.1908, 0.2904),
(0.1208, -0.0808, 0.1099),
(-0.1886,),
(-0.0501, -0.1934, 0.2928)])
for body,q in zip(model.bodies, [(1,2,3,4,5,6,7),(8,9,10,11),(12,)]):
assert approx_equal(body.joint.new_q(q=q).get_q(), q)
#
qdd = []
for body in model.bodies:
body.qd = body.joint.qd_zero
qdd.append(body.joint.qdd_zero)
model.flag_velocities_as_changed()
tau = model.inverse_dynamics(qdd_array=qdd, f_ext_array=f_ext)
assert approx_equal(tau, [
(0.286606889188, -0.220046556736, 1.14581449056,
0.153659017347, -0.0162376124727, -0.155270178613),
(0.541174667239, 0.406026437633, -0.813718623664),
(0.07,),
(-0.35,0.02,0.2)])
tau0 = model.f_ext_as_tau(f_ext_array=f_ext)
assert approx_equal(tau0, tau)
