In the field of electrical machines dynamic analysis and control, the focus of the research is on automated testing and analysis of transients of various AC rotating machines. The transient analysis is further extended to the design of control systems and state/parameter observers for AC machinery and multi-motor based control systems.
The reserachers in the field utilize modern approaches including HIL/MIL/SIL approaches to testing, and rapid control prototyping based algorithm developement to increase the efficiency and reliability of electrical drives and improve the dynamic response.
The reserach field includes the developement of new multi-motor control approaches, heavily focused on utilizing fuzzy decision making and computational inteligence. Optimized control solutions are synthetized both in electric motor and multi-motor control systems.
Online condition monitoring and fault detection of electrical machines is closely related with transient analysis of various AC machines in line or converter supplied applications.
Important topic covered by the research group in the field of electric machines dynamics is related to deveoping real-time simulation models of electrical machines and drives, executable and interfaceble with various hardware on our HIL test systems.
Some technical solutions are:
- HIL/MIL/SIL - RCP system design for AC machine control systems design and testing
- Double HIL based Co-simulation system for PMSM machine control analysis and optimization
- SiC MOSFET Converter based system for experimental optimization of AC machines controllers
- Automated induction motor test bench
- Co-Simulation based framework for Fuzzy-PI controller parameter optimization
- FEM based Real-Time executalbe models of PMSM with included secondary effects
