Construction and Simulation of a Simple Model
In this tutorial, we will simulate a very simple model consisting of a generator and a writer as shown in the block diagram shown below.
Model Simulation
Let us construct the model first. See Model Construction for more detailed information about model construction.
using Jusdl
# Describe the model
@defmodel model begin
@nodes begin
gen = SinewaveGenerator()
writer = Writer()
end
@branches begin
gen => writer
end
end
In this simple model
, we have a single output sinusoidal wave generator gen
and a writer
. In the script above, we constructed the components, connected them together and constructed the model.
We can specify simulation settings such as whether a simulation log file is be to constructed, model components are to be saved in a file, etc.
simdir = "/tmp"
logtofile = true
reportsim = true
At this point, the model is ready for simulation.
t0 = 0. # Start time
dt = 0.01 # Sampling interval
tf = 10. # Final time
sim = simulate!(model, t0, dt, tf, simdir=simdir, logtofile=logtofile, reportsim=reportsim)
Simulation(state:done, retcode:success, path:/tmp/Simulation-94d2defa-7a13-40ad-b3e4-1031ba018814)
Investigation of Simulation
First, let us observe Simulation
instance sim
. We start with the directory in which all simulation files are saved.
foreach(println, readlines(`ls -al $(sim.path)`))
total 10568
drwxrwxr-x 2 sari sari 4096 Aug 20 21:32 .
drwxrwxrwt 1 root root 10764288 Aug 20 21:32 ..
-rw-rw-r-- 1 sari sari 15236 Aug 20 21:32 eaa7e6b8-8847-4d4a-87d0-ca05f9fa84df
-rw-rw-r-- 1 sari sari 22051 Aug 20 21:32 report.jld2
-rw-rw-r-- 1 sari sari 1043 Aug 20 21:32 simlog.log
The simulation directory includes a log file simlog.log
which helps the user monitor simulation steps.
# Print the contents of log file
open(joinpath(sim.path, "simlog.log"), "r") do file
for line in readlines(file)
println(line)
end
end
┌ Info: 2020-08-20T21:32:46.173 Started simulation...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-20T21:32:46.214 Inspecting model...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-20T21:32:46.232 Done.
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-20T21:32:46.232 Initializing the model...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-20T21:32:46.281 Done...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-20T21:32:46.281 Running the simulation...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-20T21:32:46.397 Done...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-20T21:32:46.397 Terminating the simulation...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-20T21:32:46.412 Done.
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
report.jld2
file, which includes the information about the simulation and model components, can be read back after the simulation.
julia> using FileIO, JLD2
julia> filecontent = load(joinpath(sim.path, "report.jld2"))
Dict{String,Any} with 9 entries:
"retcode" => :success
"name" => "Simulation-94d2defa-7a13-40ad-b3e4-1031ba018814"
"model/callbacks" => nothing
"model/name" => ""
"model/clock" => Clock(t:10.0, dt:0.01, tf:10.0, paused:false, isrunning:…
"model/id" => "32fedb4f-f41f-43d4-8e54-ce46e80c6208"
"components/" => SinewaveGenerator(amp:1.0, freq:1.0, phase:0.0, offset:0…
"path" => "/tmp/Simulation-94d2defa-7a13-40ad-b3e4-1031ba018814"
"state" => :done
julia> clock = filecontent["model/clock"]
Clock(t:10.0, dt:0.01, tf:10.0, paused:false, isrunning:false)
Analysis of Simulation Data
After the simulation, the data saved in simulation data files, i.e. in the files of writers, can be read back any offline data analysis can be performed.
# Read the simulation data
t, x = read(getnode(model, :writer).component)
# Plot the data
using Plots
plot(t, x, xlabel="t", ylabel="x", label="")
A Larger Model Simulation
Consider a larger model whose block diagram is given below
The script below illustrates the construction and simulation of this model
using Jusdl
using Plots
# Construct the model
@defmodel model begin
@nodes begin
gen1 = SinewaveGenerator(frequency=2.)
gain1 = Gain()
adder1 = Adder(signs=(+,+))
gen2 = SinewaveGenerator(frequency=3.)
adder2 = Adder(signs=(+,+,-))
gain2 = Gain()
writer = Writer()
gain3 = Gain()
end
@branches begin
gen1[1] => gain1[1]
gain1[1] => adder1[1]
adder1[1] => adder2[1]
gen2[1] => adder1[2]
gen2[1] => adder2[2]
adder2[1] => gain2[1]
gain2[1] => writer[1]
gain2[1] => gain3[1]
gain3[1] => adder2[3]
end
end
# Simulation of the model
simulate!(model, withbar=false)
# Reading and plotting the simulation data
t, x = read(getnode(model, :writer).component)
plot(t, x)
[ Info: 2020-08-20T21:32:57.746 Started simulation...
[ Info: 2020-08-20T21:32:57.746 Inspecting model...
┌ Info: The model has algrebraic loops:[[5, 6, 8]]
└ Trying to break these loops...
[ Info: Loop [5, 6, 8] is broken
[ Info: 2020-08-20T21:32:57.949 Done.
[ Info: 2020-08-20T21:32:57.949 Initializing the model...
[ Info: 2020-08-20T21:32:58.154 Done...
[ Info: 2020-08-20T21:32:58.154 Running the simulation...
[ Info: 2020-08-20T21:32:58.49 Done...
[ Info: 2020-08-20T21:32:58.49 Terminating the simulation...
[ Info: 2020-08-20T21:32:58.492 Done.