ABOUT THE GROUP
The Research Group for Advanced Industrial Systems (IG06) was established in 2018 within the Department of Electromechanical Engineering and Automation at the Faculty of Electrical Engineering, Computer Science and Information Technology at Josip Juraj Strossmayer University of Osijek, Croatia. The group brings together researchers and experts dedicated to providing scientific solutions to issues arising in modern industrial systems. With significant experience in scientific and professional projects, the IG06 research team delivers comprehensive, interdisciplinary solutions related to digital transformation in industry, most commonly known as Industry 4.0.
The group’s main objective is to conduct high-quality research and provide expert insights in the fields of electrical machines, power electronics, electrical and process measurements, materials and industrial ecology. All these research areas are integrated into the study of industrial drives, which form the foundation of industrial production. Through its work, the group aims to find solutions to key challenges in ecology, energy efficiency improvement, and complex system optimisation in accordance with digital transformation principles.
By conducting multidisciplinary research, IG06 provides an integrated approach to modern industrial challenges such as enhancing energy efficiency and production quality in accordance with industrial ecology principles, as well as integrating business logistics with production processes.
KEY RESEARCH AREAS
- Electrical machines and drives
- Power electronics
- Industrial measurements
- Applied numerical analysis in electrical engineering
- Materials and industrial ecology
RESEARCH AREAS
The IG06 group focuses on research areas such as electrical machines, power electronics, electrical and process measurements, materials and industrial ecology, all of which are integrated into the study of industrial drives as a foundation of industrial production. Electrical machine modelling, control and parameter identification are complemented by the application of modern RCP and HIL systems for research verification, testing, and teaching. Research on modelling and parameter identification is strongly supported by the field of numerical methods. Numerical methods and optimisation techniques are also used for solving optimisation and estimation problems in the electrical power grid through co-simulation approaches. New methods for measuring electrical and non-electrical quantities in industrial facilities are being developed, along with approaches for estimating and expressing measurement uncertainty. Power electronics research is oriented towards three-phase voltage converter control methods for energy storage using HIL methods. Additionally, emulation procedures for electrical energy production in photovoltaic systems are developed.
PROFESSIONAL EXPERTISE
The IG06 group possesses professional expertise that connects recent scientific research with practical applications in advanced industrial systems. Its experts have extensive experience in industrial measurement and metrology, material characterisation, life cycle assessment (LCA), development of sustainable manufacturing systems, as well as advanced modelling, simulation and efficiency analysis of electrical drives. The group also specialises in modelling using numerical simulation tools, the emulation of electricity production for photovoltaic systems up to 10 kWp across different PV module technologies, and real-time HIL-based development, verification, and validation of control algorithms for voltage converters and bidirectional DC-DC converters applied in battery energy storage systems.
KEY PROFESSIONAL EXPERTISE
- Measurement uncertainty analysis
- Development of real-time simulation models
- Numerical simulation tool-based modelling
- Advanced modelling, simulation and efficiency analysis of electrical drives
- Real-time HIL-based control development and validation of power electronic converters for battery energy storage systems
- Power emulation of electricity production for photovoltaic systems
- Life Cycle Assessment (LCA) of products and production processes
- Modelling of material properties and production optimisation
