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-7b0290ef-2b0a-49fc-aa9e-f98d9c393de3)
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 17 21:59 .
drwxrwxrwt 1 root root 10764288 Aug 17 22:00 ..
-rw-rw-r-- 1 sari sari 15236 Aug 17 21:59 6cc5d842-482e-46bf-99b5-671c2837fb64
-rw-rw-r-- 1 sari sari 22011 Aug 17 22:00 report.jld2
-rw-rw-r-- 1 sari sari 1043 Aug 17 22:00 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: 2020-08-17T21:59:58.578 Started simulation...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-17T21:59:58.661 Inspecting model...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-17T21:59:58.694 Done.
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-17T21:59:58.694 Initializing the model...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-17T21:59:58.752 Done...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-17T21:59:58.752 Running the simulation...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-17T21:59:58.909 Done...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-17T21:59:58.909 Terminating the simulation...
└ @ Jusdl /home/sari/.julia/dev/Jusdl/src/utilities/utils.jl:5
┌ Info: 2020-08-17T21:59:58.925 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-7b0290ef-2b0a-49fc-aa9e-f98d9c393de3"
"model/callbacks" => nothing
"model/name" => ""
"model/clock" => Clock(t:10.0, dt:0.01, tf:10.0, paused:false, isrunning:…
"model/id" => "e931ee58-4bbc-4101-9996-4058c9713007"
"components/" => SinewaveGenerator(amp:1.0, freq:1.0, phase:0.0, offset:0…
"path" => "/tmp/Simulation-7b0290ef-2b0a-49fc-aa9e-f98d9c393de3"
"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: 2020-08-17T22:00:13.322 Started simulation...
[ Info: 2020-08-17T22:00:13.322 Inspecting model...
┌ Info: The model has algrebraic loops:[[5, 6, 8]]
└ Trying to break these loops...
[ Info: Loop [5, 6, 8] is broken
[ Info: 2020-08-17T22:00:13.582 Done.
[ Info: 2020-08-17T22:00:13.582 Initializing the model...
[ Info: 2020-08-17T22:00:13.832 Done...
[ Info: 2020-08-17T22:00:13.832 Running the simulation...
[ Info: 2020-08-17T22:00:14.279 Done...
[ Info: 2020-08-17T22:00:14.279 Terminating the simulation...
[ Info: 2020-08-17T22:00:14.286 Done.