Exemple #1
0
def test_elevator_deflection():
    control_input = ControlInput()
    elevator_deflection = 0.2
    control_input.elevator_deflection = elevator_deflection
    assert control_input.elevator_deflection == pytest.approx(
        elevator_deflection)
    assert np.allclose(control_input.control_input,
                       [elevator_deflection, 0.0, 0.0, 0.0])
Exemple #2
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def test_dynamics_forces():
    control_input = ControlInput()
    prop = SimpleTestAircraftNoMoments(control_input)
    t = 0
    for i in range(-50, 101, 50):
        control_input.throttle = 0.8
        control_input.elevator_deflection = i
        control_input.aileron_deflection = i
        control_input.rudder_deflection = i

        state = State()
        state.vx = 20.0
        state.vy = 1
        state.vz = 0
        params = {"prop": prop, "wind": no_wind()}
        update = dynamics_kinetmatics_update(t=t,
                                             x=state.state,
                                             u=control_input.control_input,
                                             params=params)
        V_a = np.sqrt(np.sum(calc_airspeed(state, params['wind'].get(0.0))**2))

        forces_aero_wind_frame = np.array([
            -np.abs(control_input.elevator_deflection),
            control_input.aileron_deflection, -control_input.rudder_deflection
        ])
        forces_aero_body_frame = wind2body(forces_aero_wind_frame, state,
                                           params['wind'].get(0))
        force_propulsion = np.array([(2 * control_input.throttle)**2 - V_a**2,
                                     0, 0])
        force_gravity = inertial2body(
            np.array([0, 0, prop.mass() * GRAVITY_CONST]), state)
        forces_body = forces_aero_body_frame + force_propulsion + force_gravity
        vx_update_expect = (1 / prop.mass()) * forces_body[0]
        vy_update_expect = (1 / prop.mass()) * forces_body[1]
        vz_update_expect = (1 / prop.mass()) * forces_body[2]
        # No moments
        ang_rate_x_update_expect = 0
        ang_rate_y_update_expect = 0
        ang_rate_z_update_expect = 0

        assert np.allclose(vx_update_expect, update[6])
        assert np.allclose(vy_update_expect, update[7])
        assert np.allclose(vz_update_expect, update[8])
        assert np.allclose(ang_rate_x_update_expect, update[9])
        assert np.allclose(ang_rate_y_update_expect, update[10])
        assert np.allclose(ang_rate_z_update_expect, update[11])
Exemple #3
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def test_dynamics_moments():
    control_input = ControlInput()
    t = 0

    for i in range(-50, 51, 50):
        control_input.throttle = i
        control_input.elevator_deflection = i
        control_input.aileron_deflection = i
        control_input.rudder_deflection = i
        prop = SimpleTestAircraftNoForces(control_input)

        state = State()
        state.vx = 20.0
        state.vy = 1
        state.vz = 0
        state.ang_rate_x = 0.157079633
        state.ang_rate_y = 0.157079633
        state.ang_rate_z = 0.157079633
        params = {"prop": prop, "wind": no_wind()}
        update = dynamics_kinetmatics_update(t=t,
                                             x=state.state,
                                             u=control_input.control_input,
                                             params=params)
        moments_aero = np.array([
            control_input.elevator_deflection,
            control_input.aileron_deflection, control_input.rudder_deflection
        ])
        omega = np.array(
            [state.ang_rate_x, state.ang_rate_y, state.ang_rate_z])
        coreolis_term = prop.inv_inertia_matrix().dot(
            np.cross(omega,
                     prop.inertia_matrix().dot(omega)))

        ang_rate_x_update_expect = (2 / 3) * moments_aero[0] - (
            1 / 3) * moments_aero[2] - coreolis_term[0]
        ang_rate_y_update_expect = (1 / 2) * moments_aero[1] - coreolis_term[1]
        ang_rate_z_update_expect = (2 / 3) * moments_aero[2] - (
            1 / 3) * moments_aero[0] - coreolis_term[2]
        assert np.allclose(ang_rate_x_update_expect, update[9])
        assert np.allclose(ang_rate_y_update_expect, update[10])
        assert np.allclose(ang_rate_z_update_expect, update[11])
def drag_coeff_test_cases():
    state1 = State()
    state1.vx = 20.0
    state1.vz = 0.0
    wind1 = np.zeros(6)
    wind2 = np.zeros(6)
    wind2[0] = 1.0
    wind2[2] = -19.0 * np.tan(6 * np.pi / 180.0)
    zero_input = ControlInput()

    elevator_input = ControlInput()
    elevator_input.elevator_deflection = 2.0 * np.pi / 180.0

    return [(state1, wind1, 0.0, zero_input, 0.015039166436721),
            (state1, wind1, 1.0, zero_input, 0.043224285541117),
            (state1, wind2, 0.0, zero_input, 0.027939336576642),
            (state1, wind2, 1.0, zero_input, 0.082879203470842),
            (state1, wind1, 0.0, elevator_input,
             0.015039166436721 + 0.0633 * elevator_input.elevator_deflection),
            (state1, wind1, 1.0, elevator_input,
             0.043224285541117 + 0.0633 * elevator_input.elevator_deflection)]
def pitch_moment_coeff_test_cases():
    state1 = State()
    state1.vx = 20.0
    state1.vz = 0.0
    wind1 = np.zeros(6)
    wind2 = np.zeros(6)
    wind2[0] = 1.0
    wind2[2] = -19.0 * np.tan(6 * np.pi / 180.0)
    zero_input = ControlInput()

    elevator_input = ControlInput()
    elevator_input.elevator_deflection = 2.0 * np.pi / 180.0

    return [(state1, wind1, 0.0, zero_input, 0.001161535578433),
            (state1, wind1, 1.0, zero_input, -0.004297270367523),
            (state1, wind2, 0.0, zero_input, -0.064477317568596),
            (state1, wind2, 1.0, zero_input, -0.01808304889307),
            (state1, wind1, 0.0, elevator_input,
             0.001161535578433 - 0.206 * elevator_input.elevator_deflection),
            (state1, wind1, 1.0, elevator_input,
             -0.004297270367523 - 0.206 * elevator_input.elevator_deflection)]
def lift_coeff_test_cases():
    constants = SkywalkerX8Constants()
    c = constants.mean_chord
    state1 = State()
    state1.vx = 20.0
    state1.vz = 0.0
    state2 = State()
    state2.vx = 20.0
    state2.vz = 0.0
    state2.ang_rate_y = 5 * np.pi / 180
    wind1 = np.zeros(6)
    wind2 = np.zeros(6)
    wind3 = np.zeros(6)
    wind2[0] = 1.0
    wind2[2] = -19.0 * np.tan(8 * np.pi / 180.0)
    wind3[0] = 1.0
    wind3[2] = -19.0 * np.tan(8 * np.pi / 180.0)
    wind3[4] = 3 * np.pi / 180
    ang_rate_y2 = state2.ang_rate_y - wind3[4]
    airspeed2 = np.sqrt(np.sum(calc_airspeed(state2, wind2)**2))
    zero_input = ControlInput()
    elevator_input = ControlInput()
    elevator_input.elevator_deflection = 2.0 * np.pi / 180.0

    return [(state1, wind1, 0.0, zero_input, 0.030075562375465),
            (state1, wind1, 1.0, zero_input, 0.018798581619545),
            (state1, wind2, 0.0, zero_input, 0.609296679062686),
            (state1, wind2, 1.0, zero_input, 0.454153721254944),
            (state1, wind1, 0.0, elevator_input,
             0.030075562375465 + 0.278 * elevator_input.elevator_deflection),
            (state1, wind1, 1.0, elevator_input,
             0.018798581619545 + 0.278 * elevator_input.elevator_deflection),
            (state2, wind3, 0.0, elevator_input,
             0.609296679062686 + 4.60 * c / (2 * airspeed2) * ang_rate_y2 +
             0.278 * elevator_input.elevator_deflection),
            (state2, wind3, 1.0, elevator_input,
             0.454153721254944 - 3.51 * c / (2 * airspeed2) * ang_rate_y2 +
             0.278 * elevator_input.elevator_deflection)]