# Try the old Jmodelica syntax
jmu_name = compile_jmu("VDP_pack.VDP_Opt", curr_dir + "/VDP.mop",
'optimica', 'ipopt', {
'generate_xml_equations': True,
'generate_fmi_xml': False
})
except jmodelica.compiler.UnknownOptionError:
# Try the new jmodelica syntax
jmu_name = compile_jmu("VDP_pack.VDP_Opt", curr_dir + "/VDP.mop",
'optimica', 'ipopt', {
'generate_xml_equations': True,
'generate_fmi_me_xml': False
})
if True:
vdp = JMUModel(jmu_name)
res = vdp.optimize()
# Extract variable profiles
x1 = res['x1']
x2 = res['x2']
u = res['u']
t = res['time']
cost = res['cost']
# Plot
plt.figure(1)
plt.clf()
plt.subplot(311)
plt.plot(t, x1)
plt.grid()
"optimica",
"ipopt",
{"generate_xml_equations": True, "generate_fmi_xml": False},
)
except jmodelica.compiler.UnknownOptionError:
# Try the new jmodelica syntax
jmu_name = compile_jmu(
"VDP_pack.VDP_Opt",
curr_dir + "/VDP.mop",
"optimica",
"ipopt",
{"generate_xml_equations": True, "generate_fmi_me_xml": False},
)
if True:
vdp = JMUModel(jmu_name)
res = vdp.optimize()
# Extract variable profiles
x1 = res["x1"]
x2 = res["x2"]
u = res["u"]
t = res["time"]
cost = res["cost"]
# Plot
plt.figure(1)
plt.clf()
plt.subplot(311)
plt.plot(t, x1)
plt.grid()
# Import library for path manipulations
import os.path
# Import numerical libraries
import numpy as N
from pylab import *
# Import the JModelica.org Python packages
from jmodelica.jmi import compile_jmu
from jmodelica.jmi import JMUModel
jmu_name = compile_jmu("opt","ocp.mop")
# Load the dynamic library and XML data
dyn = JMUModel(jmu_name)
dyn.initialize()
opts = dyn.optimize_options()
opts['n_e'] = 5 # number of elements
opts['n_cp'] = 3 # number of collocation points
opts['result_mode']='default'
opts['IPOPT_options']['max_iter']=100
opt = dyn.optimize(options=opts)
t=opt['time']
print t[-1]
# Import library for path manipulations
import os.path
# Import numerical libraries
import numpy as N
from pylab import *
# Import the JModelica.org Python packages
from jmodelica.jmi import compile_jmu
from jmodelica.jmi import JMUModel
jmu_name = compile_jmu("opt", "ocp.mop")
# Load the dynamic library and XML data
dyn = JMUModel(jmu_name)
dyn.initialize()
opts = dyn.optimize_options()
opts['n_e'] = 5 # number of elements
opts['n_cp'] = 3 # number of collocation points
opts['result_mode'] = 'default'
opts['IPOPT_options']['max_iter'] = 100
opt = dyn.optimize(options=opts)
t = opt['time']
print t[-1]
plot(t, opt['sim.y'])