import param as P
# The Animation.py file is kept in the parent directory,
# so the parent directory path needs to be added.
sys.path.append('..')
from animation import WhirlybirdAnimation
t_start = 0.0 # Start time of simulation
t_end = 20.0 # End time of simulation
t_Ts = P.Ts # Simulation time step
t_elapse = 0.01 # Simulation time elapsed between each iteration
t_pause = 0.01 # Pause between each iteration
# Instantiate classes
user_input = Sliders()
simAnimation = WhirlybirdAnimation()
t = t_start # Declare time variable to keep track of simulation time elapsed
while t < t_end:
plt.ion() # Make plots interactive
plt.figure(
user_input.fig.number) # Switch current figure to user_input figure
plt.pause(0.0001) # Pause the simulation to detect user input
plt.figure(
simAnimation.fig.number) # Switch current figure to animation figure
simAnimation.drawWhirlybird(user_input.getInputValues())
t = t + t_elapse # Update animation with current user input
# time.sleep(t_pause)
t_elapse = 0.1 # Simulation time elapsed between each iteration
t_pause = 0.01 # Pause between each iteration
user_input = Sliders() # Instantiate Sliders class
simAnimation = Animation() # Instantiate Animate class
dynam = Dynamics() # Instantiate Dynamics class
t = t_start # Declare time variable to keep track of simulation time elapsed
while t < t_end:
plt.ion() # Make plots interactive
plt.figure(
user_input.fig.number) # Switch current figure to user_input figure
plt.pause(0.001) # Pause the simulation to detect user input
# The dynamics of the model will be propagated in time by t_elapse
# at intervals of t_Ts.
t_temp = t + t_elapse
while t < t_temp:
dynam.propagateDynamics( # Propagate the dynamics of the model in time
user_input.getInputValues())
t += t_Ts # Update time elapsed
plt.figure(
simAnimation.fig.number) # Switch current figure to animation figure
simAnimation.drawSystem( # Update animation with current user input
dynam.Outputs())
# time.sleep(t_pause)
t_elapse = 0.1 # Simulation time elapsed between each iteration
t_pause = 0.01 # Pause between each iteration
user_input = Sliders() # Instantiate Sliders class
simAnimation = Animation() # Instantiate Animate class
dynam = Dynamics() # Instantiate Dynamics class
t = t_start # Declare time variable to keep track of simulation time elapsed
while t < t_end:
plt.ion() # Make plots interactive
plt.figure(
user_input.fig.number) # Switch current figure to user_input figure
plt.pause(0.001) # Pause the simulation to detect user input
# The dynamics of the model will be propagated in time by t_elapse
# at intervals of t_Ts.
t_temp = t + t_elapse
while t < t_temp:
dynam.propagateDynamics( # Propagate the dynamics of the model in time
convertForces(user_input.getInputValues()))
t += t_Ts # Update time elapsed
plt.figure(
simAnimation.fig.number) # Switch current figure to animation figure
simAnimation.drawSystem( # Update animation with current user input
dynam.Outputs())
# time.sleep(t_pause)