SecondOrderTest
Second-order system test with constant input.
Tests a second-order dynamic system by applying a constant input and verifying the expected step response. The second-order system is configured with a gain of 1.0, natural frequency of 1.0, and damping ratio of 0.5, which produces a slightly under-damped response. The system should eventually reach the steady-state output value matching the input constant.
Usage
SecondOrderTest()
Behavior
Source
dyad
# Second-order system test with constant input.
#
# Tests a second-order dynamic system by applying a constant input and verifying the expected
# step response. The second-order system is configured with a gain of 1.0, natural frequency
# of 1.0, and damping ratio of 0.5, which produces a slightly under-damped response. The system
# should eventually reach the steady-state output value matching the input constant.
test component SecondOrderTest
# Constant source block that provides a fixed value of 1 as input
c = Constant(k=1)
# Second-order transfer function block with specified dynamics parameters
pt2 = SecondOrder(k=1.0, w=1.0, d=0.5)
relations
# Connects the constant output to the input of the second-order system
connect(c.y, pt2.u)
metadata {
"Dyad": {
"experiments": {},
"tests": {
"case1": {
"stop": 10,
"initial": {"pt2.xd": 0},
"atol": {"pt2.y": 0.01},
"expect": {"final": {"pt2.y": 1}, "signals": ["pt2.y"]}
}
}
}
}
end
Flattened Source
dyad
# Second-order system test with constant input.
#
# Tests a second-order dynamic system by applying a constant input and verifying the expected
# step response. The second-order system is configured with a gain of 1.0, natural frequency
# of 1.0, and damping ratio of 0.5, which produces a slightly under-damped response. The system
# should eventually reach the steady-state output value matching the input constant.
test component SecondOrderTest
# Constant source block that provides a fixed value of 1 as input
c = Constant(k=1)
# Second-order transfer function block with specified dynamics parameters
pt2 = SecondOrder(k=1.0, w=1.0, d=0.5)
relations
# Connects the constant output to the input of the second-order system
connect(c.y, pt2.u)
metadata {
"Dyad": {
"experiments": {},
"tests": {
"case1": {
"stop": 10,
"initial": {"pt2.xd": 0},
"atol": {"pt2.y": 0.01},
"expect": {"final": {"pt2.y": 1}, "signals": ["pt2.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 = SecondOrderTest()
u0_case1 = [model_case1.pt2.xd => 0]
prob_case1 = ODEProblem(model_case1, u0_case1, (0, 10))
sol_case1 = solve(prob_case1)
retcode: Success
Interpolation: 3rd order Hermite
t: 23-element Vector{Float64}:
0.0
9.999999999999999e-5
0.0010999999999999998
0.011099999999999997
0.06011862644596693
0.15042632519643986
0.28380492936210605
0.4678186118211677
0.7152653512117267
1.0347207106005918
⋮
3.8238016789236675
4.511767493047128
5.20478873282933
5.939653827614375
6.737441224771508
7.636538803204853
8.455698732346535
9.252425660114291
10.0
u: 23-element Vector{Vector{Float64}}:
[-0.0, 0.0]
[4.9998333333333834e-9, 9.999500000000413e-5]
[6.047781666800803e-7, 0.0010993950000609898]
[6.137706290157373e-5, 0.011038395631125119]
[0.0017709171509673284, 0.058312039562446724]
[0.010747355599385366, 0.13913297859763982]
[0.03647738129711265, 0.24378730937010135]
[0.09253533051178131, 0.360201390056661]
[0.19618910514100768, 0.4688260927491307]
[0.3588950053617409, 0.5374947938657385]
⋮
[1.160098956787946, -0.028849553664129345]
[1.117466316373297, -0.08384692988675878]
[1.0569695772902532, -0.08376886433971201]
[1.0054577786449512, -0.053824533462138155]
[0.977594775391023, -0.01724513854127507]
[0.9751095000256216, 0.008216345939253489]
[0.9853487202688161, 0.014516694787007045]
[0.9959610324860069, 0.011165794886770332]
[1.002166008436529, 0.0053890250122180725]
julia
df_case1 = DataFrame(:t => sol_case1[:t], :actual => sol_case1[model_case1.pt2.y])
dfr_case1 = try CSV.read(joinpath(snapshotsdir, "SecondOrderTest_case1_sig0.ref"), DataFrame); catch e; nothing; end
plt = plot(sol_case1, idxs=[model_case1.pt2.y], width=2, label="Actual value of pt2.y")
if !isnothing(dfr_case1)
scatter!(plt, dfr_case1.t, dfr_case1.expected, mc=:red, ms=3, label="Expected value of pt2.y")
end
scatter!(plt, [df_case1.t[end]], [1], label="Final Condition for `pt2.y`")
plt
Related
Examples
Experiments
Analyses
Tests