【发布时间】:2021-04-19 13:02:01
【问题描述】:
我正在尝试使用 pyomo 解决 DAE 系统。 这是一个玩具示例
from pyomo.environ import *
from pyomo.dae import *
m = ConcreteModel()
m.r = ContinuousSet(bounds = (0., 1.))
m.t = ContinuousSet(bounds = (0., 5.))
m.c = Var(m.r, m.t)
m.dcdt = DerivativeVar(m.c, wrt = m.t)
discretizer = TransformationFactory('dae.finite_difference')
discretizer.apply_to(m, nfe=20, wrt = m.r, scheme = 'BACKWARD')
# setting initial conditions
m.c[:, 0].fix(5)
def _dae_rule(m, r, t):
return 0 == - m.c[r, t] - m.dcdt[r, t] # note that rewriting to ODE is not desired
m.ode = Constraint(m.r, m.t, rule = _dae_rule)
sim = Simulator(m, package = "casadi")
tsim, profiles = sim.simulate(numpoints=100, integrator="idas")
不幸的是,执行导致错误消息
DAE_Error: Currently the simulator may only be applied to Pyomo models with a single ContinuousSet
怎么会?只有m.t 是ContinuousSet?
手动删除 ContinuousSet,而不是首先使用 DiscreteSet 会产生错误消息
DAE_Error: Cannot simulate a differential equation with multiple DerivativeVars
我不明白。每个方程只依赖于它自己的导数?
另外,如果我还要离散化 m.t,我可以使用任何可能有效的替代求解器吗?
非常感谢:)
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