def run():
data_x = []
data_y = []
dt = 0.1
tmax = 10
state = None
m = model.model_push()
ir = sciint.ode(m.step).set_integrator('vode', atol=0.01)
ir.set_initial_value(m.init, 0)
while state is None or state[2] < m.x_h and ir.t < tmax:
state = ir.integrate(ir.t + dt/1000)
data_x.append(ir.t)
data_y.append(m.M)
if ir.t >= tmax:
print('front failed')
plt.ylim(0, m.Mmax + 10)
plt.plot(data_x, data_y)
plt.xlabel('Время t [с]')
plt.ylabel('Момент М(t) [Н м]')
plt.show()
return None
t1 = ir.t
m = model.model_torque()
ir = sciint.ode(m.step).set_integrator('vode', atol=0.01)
m.init = [
state[0], 0,
state[2] - m.L * cos(asin(((state[3] - m.y_f)/m.L))), m.r_k + m.y_f
]
state2 = state[:]
ir.set_initial_value(m.init, 0)
state = None
while state is None or state[2] < m.x_h and ir.t + t1 < tmax:
state = ir.integrate(ir.t + dt/1000)
data_x.append(ir.t + t1)
data_y.append(m.M)
if ir.t + t1 >= tmax:
print('rear failed')
return None
print('all pass')
plt.ylim(0, m.Mmax + 10)
plt.plot(data_x, data_y)
plt.xlabel('Время t [с]')
plt.ylabel('Момент М(t) [Н м]')
plt.show()
return (m.init, state2)
def init():
global m, ir, data_x, data_y
if len(sys.argv) > 1 and 'torque'.startswith(sys.argv[1]):
m = model.model_torque()
else:
m = model.model_push()
if type(m) == model.model_torque:
m.init = s2i
ir = sciint.ode(m.step).set_integrator('vode', atol=0.01)
ir.set_initial_value(m.init, 0)
data_x = []
data_y = []
