FirstOrderTest
Test fixture for evaluating first-order system response to constant input.
This component connects a constant value (1.0) to a first-order system with gain 1.2 and time constant 0.1, allowing observation of the step response. The first-order system is expected to reach its steady state value of 1.2 after approximately 5 time constants (0.5 seconds). The metadata includes a test case that verifies this expected behavior after 10 seconds of simulation.
Usage
FirstOrderTest()
Behavior
Source
dyad
# Test fixture for evaluating first-order system response to constant input.
#
# This component connects a constant value (1.0) to a first-order system with gain 1.2 and
# time constant 0.1, allowing observation of the step response. The first-order system is
# expected to reach its steady state value of 1.2 after approximately 5 time constants (0.5 seconds).
# The metadata includes a test case that verifies this expected behavior after 10 seconds of simulation.
test component FirstOrderTest
# Constant block that provides a unit step input with value k=1
c = Constant(k=1)
# First-order system with gain 1.2 and time constant 0.1 seconds
pt1 = FirstOrder(k=1.2, T=0.1)
relations
# Connects the constant output to the first-order system input
connect(c.y, pt1.u)
metadata {
"Dyad": {
"experiments": {},
"tests": {
"case1": {
"stop": 10,
"atol": {"pt1.y": 0.001},
"expect": {"final": {"pt1.y": 1.2}, "signals": ["pt1.y"]}
}
}
}
}
end
Flattened Source
dyad
# Test fixture for evaluating first-order system response to constant input.
#
# This component connects a constant value (1.0) to a first-order system with gain 1.2 and
# time constant 0.1, allowing observation of the step response. The first-order system is
# expected to reach its steady state value of 1.2 after approximately 5 time constants (0.5 seconds).
# The metadata includes a test case that verifies this expected behavior after 10 seconds of simulation.
test component FirstOrderTest
# Constant block that provides a unit step input with value k=1
c = Constant(k=1)
# First-order system with gain 1.2 and time constant 0.1 seconds
pt1 = FirstOrder(k=1.2, T=0.1)
relations
# Connects the constant output to the first-order system input
connect(c.y, pt1.u)
metadata {
"Dyad": {
"experiments": {},
"tests": {
"case1": {
"stop": 10,
"atol": {"pt1.y": 0.001},
"expect": {"final": {"pt1.y": 1.2}, "signals": ["pt1.y"]}
}
}
}
}
end
Test Cases
This is setup code, that must be run before each test case.
julia
using BlockComponents
using ModelingToolkit, OrdinaryDiffEqDefault
using Plots
using CSV, DataFrames
snapshotsdir = joinpath(dirname(dirname(pathof(BlockComponents))), "test", "snapshots")
"/home/actions-runner-10/.julia/packages/BlockComponents/77kIK/test/snapshots"
Test Case case1
julia
@mtkbuild model_case1 = FirstOrderTest()
u0_case1 = []
prob_case1 = ODEProblem(model_case1, u0_case1, (0, 10))
sol_case1 = solve(prob_case1)
retcode: Success
Interpolation: 3rd order Hermite
t: 33-element Vector{Float64}:
0.0
9.999999999999999e-5
0.0010999999999999998
0.007643661441638699
0.022505075556921522
0.04447858236944112
0.07261559353635375
0.10885733084666237
0.15314251261703263
0.20676179774053446
⋮
3.9287621493323477
4.258450452945037
4.594762911377889
4.9402282143398155
5.292692753046255
6.003600709956894
6.945885150744364
8.831651597604731
10.0
u: 33-element Vector{Vector{Float64}}:
[-0.0]
[0.00119940019995001]
[0.013127665469557502]
[0.08830603971090209]
[0.24182917035867987]
[0.4308461419242686]
[0.6194819019674526]
[0.7959640055586799]
[0.9405267439089751]
[1.0482147648158164]
⋮
[1.1994597940016913]
[1.1996319716399626]
[1.1997167100274564]
[1.1997422357291465]
[1.1997338484352627]
[1.2000544821933894]
[1.1999888117427526]
[1.2000017908013547]
[1.1999996483770548]
julia
df_case1 = DataFrame(:t => sol_case1[:t], :actual => sol_case1[model_case1.pt1.y])
dfr_case1 = try CSV.read(joinpath(snapshotsdir, "FirstOrderTest_case1_sig0.ref"), DataFrame); catch e; nothing; end
plt = plot(sol_case1, idxs=[model_case1.pt1.y], width=2, label="Actual value of pt1.y")
if !isnothing(dfr_case1)
scatter!(plt, dfr_case1.t, dfr_case1.expected, mc=:red, ms=3, label="Expected value of pt1.y")
end
scatter!(plt, [df_case1.t[end]], [1.2], label="Final Condition for `pt1.y`")
plt
Related
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