Commit 790905d9 authored by Fredrik Bagge Carlson's avatar Fredrik Bagge Carlson
Browse files

Clarify README

parent 1b5a03c8
......@@ -11,8 +11,10 @@ implementing the same interface (or a simulated version) by changeing a single
line of code :)
## Installation
1. Start julia
2. Install LabProcesses.jl using command `Pkg.clone("")` Lots of packages will now be installed, this will take some time.
1. Start julia by typing `julia` in a terminal, make sure the printed info says it's
`v0.6+` running. If not, visit [](
to get the latest release.
2. Install LabProcesses.jl using command `Pkg.clone("")` Lots of packages will now be installed, this will take some time. If this is your first time using Julia, you might have to run `julia> Pkg.init()` before you install any packages.
## How to implement a new process
1. Locate the file [interface.jl]( (Alternatively, you can copy all definitions from [/interface_implementations/ballandbeam.jl]( instead. Maybe it's easier to work from an existing implementaiton.)
......@@ -23,10 +25,17 @@ copied definitions and implement them. See [/interface_implementations/ballandbe
struct BallAndBeam <: PhysicalProcess
BallAndBeam() = BallAndBeam(0.01) # Constructor with default value of sample time
BallAndBeam() = BallAndBeam(0.01, 0.0) # Constructor with default value of sample time
Make sure you inherit from `PhysicalProcess` or `SimulatedProcess` as appropriate.
This type must contains fields that hold information about everything that is
relevant to a particular instance of the process. Different ballandbeam-process
have different biases, hence this must be stored. A simulated process would have
to keep track of its state etc. in order to implement the measure and control
methods. See [Types in julia documentation](
for additional info regarding user defined types and (constructors)[].
5. Documentation of all interface functions is available in the file [interface_documentation.jl](
## Control a process
......@@ -34,6 +43,7 @@ The interface `AbstractProcess` defines the functions `control(P, u)` and `measu
These functions can be used to implement your own control loops. A common loop
with a feedback controller and a feedforward filter on the reference is implemented
in the function [`run_control_2DOF`](@ref).
![block diagram](docs/feedback4.png)
The macro `@periodically` might come in handy if you want to implement your own loop.
Consider the following example, in which the loop body will be run periodically
......@@ -8,6 +8,7 @@ Perform control experiemnt where the feedback and feedforward controllers are gi
`reference` is a reference generating function that accepts a scalar `t` (time in seconds) and outputs a scalar `r`, default is `reference(t) = sign(sin(2π*t))`.
The outputs `y,u,r` are the beam angle, control signal and reference respectively.
![block diagram](docs/feedback4.png)
function run_control_2DOF(P::AbstractProcess,sysFB, sysFF=nothing; duration = 10, reference = t->sign(sin(2π*t)))
h = sampletime(P)
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