38 lines
843 B
Julia
38 lines
843 B
Julia
using Plots
|
|
using CSV
|
|
pyplot()
|
|
|
|
file_measure = joinpath(@__DIR__, "data", "linear_x2.csv")
|
|
file_input = joinpath(@__DIR__, "data", "input_linear_x2.csv")
|
|
|
|
measure = CSV.read(file_measure, header=false) |> Matrix{Float64};
|
|
command = CSV.read(file_input, header=false) |> Matrix{Float64};
|
|
|
|
init_measure = 1
|
|
end_measure = 20
|
|
init_command = 30
|
|
|
|
for (i,t) in enumerate(measure[:,1])
|
|
global init_measure = i
|
|
if t >= command[init_command,1]
|
|
break
|
|
end
|
|
end
|
|
|
|
plot(
|
|
measure[init_measure:end-end_measure,1],
|
|
measure[init_measure:end-end_measure,2],
|
|
title="Réponse indicielle de la boucle interne",
|
|
reuse=false,
|
|
size=(1000, 600),
|
|
label="mesure"
|
|
)
|
|
plot!(
|
|
command[init_command:end,1],
|
|
command[init_command:end,2],
|
|
label="commande"
|
|
)
|
|
savefig(joinpath(@__DIR__, "results", "internal_tuns.eps"))
|
|
|
|
show()
|