Modeling and testing of automation systems

Increased efficiency and adaptability to market trends in production industry often means updated control software and periodic migration to state of the art automation systems. However, system migration comes along with several catches namely: (i) plant downtime (planned and unplanned), (ii) cost of migration (system integration and testing), and (iii) risk of failure and costly surprises during commissioning. Here, we discuss an approach dealing with statistical environment modeling in combination with Hardware-in-the-loop (HIL) test to confront the mentioned problems.