Towards an infrastructure for preparation and control of intelligent automation systems
Licentiate thesis, 2022

In an attempt to handle some of the challenges of modern production, intelligent automation systems offer solutions that are flexible, adaptive, and collaborative. Contrary to traditional solutions, intelligent automation systems emerged just recently and thus lack the supporting tools and infrastructure that traditional systems nowadays take for granted. To support efficient development, commissioning, and control of such systems, this thesis summarizes various lessons learned during years of implementation.

Based on what was learned, this thesis investigates key features of infrastructure for modern and flexible intelligent automation systems, as well as a number of important design solutions. For example, an important question is raised whether to decentralize the global state or to give complete access to the main controller.

Moreover, in order to develop such systems, a framework for virtual preparation and commissioning is presented, with the main goal to offer support for engineers. As traditional virtual commissioning solutions are not intended for preparing highly flexible, collaborative, and dynamic systems, this framework aims to provide some of the groundwork and point to a direction for fast and integrated preparation and virtual commissioning of such systems.

Finally, this thesis summarizes some of the investigations made on planning as satisfiability, in order to evaluate how different methods improve planning performance. Throughout the thesis, an industrial material kitting use case exemplifies presented perspectives, lessons learned, and frameworks.

virtual commissioning

planning as satisfiability.

intelligent automation

architectures

virtual preparation

EDIT room 3364
Opponent: Associate Professor, Henrik Andreasson, Örebro University Sweden

Author

Endre Erös

Chalmers, Electrical Engineering, Systems and control, Automation

Development of an Industry 4.0 Demonstrator Using Sequence Planner and ROS2

Studies in Computational Intelligence 895: Robot Operating System,; (2021)p. 3-29

Book chapter

Integrated virtual commissioning of a ROS2-based collaborative and intelligent automation system

IEEE International Conference on Emerging Technologies and Factory Automation, ETFA,; (2019)p. 407-413

Paper in proceeding

Evaluation of high level methods for efficient planning as satisfiability

IEEE International Conference on Emerging Technologies and Factory Automation, ETFA,; Vol. 26(2021)

Paper in proceeding

Towards compositional automated planning

IEEE International Conference on Emerging Technologies and Factory Automation, ETFA,; Vol. September(2020)p. 416-423

Paper in proceeding

Virtual Commissioning of Vehicle Maintenance Operations, UNIFICATION

VINNOVA (2017-02245), 2017-06-01 -- 2020-05-31.

UNICORN - Sustainable, Peaceful and Efficient Robotic Refuse Handling

Volvo Group, 2021-03-24 -- 2021-05-31.

VINNOVA (2017-03055), 2017-10-25 -- 2020-08-31.

Subject Categories

Computer Systems

Publisher

Chalmers

EDIT room 3364

Online

Opponent: Associate Professor, Henrik Andreasson, Örebro University Sweden

More information

Latest update

1/17/2022