TanksOptimalControl DS

This repository contains TanksOptimalControl DS - a Tango Device Class for calculating time-optimal control in a system consisting of 3 tanks in a cascade.

Requirements

1. Tango 9.2.x and PyTango 9.2.x
2. JModelica 1.15+

Those can be found within a Docker image in this repository.

What is inside

1. Optimica model for the system of cascading tanks.
2. Tango Controls Device Server for simulating and optimising said system.
3. Test scripts to automate generating results.

Usage

Before launching the DS, one must set appropriate environment variables given below:

PYTHONPATH=:/opt/tango/Python/::$PYTHONPATH
JMODELICA_HOME=/opt/tango
IPOPT_HOME=/opt/tango
LD_LIBRARY_PATH=:/opt/tango/lib/:/opt/tango/ThirdParty/Sundials/lib:/opt/tango/ThirdParty/CasADi/lib:$LD_LIBRARY_PATH
SUNDIALS_HOME=/opt/tango/ThirdParty/Sundials
MODELICAPATH=/opt/tango/ThirdParty/MSL
CPPAD_HOME=/opt/tango/ThirdParty/CppAD/
SEPARATE_PROCESS_JVM=/usr/lib/jvm/java-1.8.0-openjdk/

Then, launch the DS with:

python tanks_optimal_control.py *DS_INSTANCE_NAME* [-v*LOG_LEVEL*]