National Competence Center – Cybernetics and Artificial Intelligence (01)

Sub-Project name: Complex systems for scheduling, planning, and control
Work package: I. Robotics and Cybernetics for Industry/Society 4.0
ID code: TN01000024/01
Duration: 01/2019 – 12/2022
Principal investigator: prof. Ing. Vladimír Kučera, DrSc., dr.h.c. (CIIRC CTU)
Participants: Czech Technical University
– Czech Institute of Informatics, Robotics and Cybernetics (CIIRC CTU)
– Faculty of Mechanical Engineering (FME CTU)
Brno University of Technology
– Central European Institute of Technology, RG Cybernetics in Material Science (CEITEC BUT)
University of West Bohemia
– New Technologies for the Information Society (NTIS)
ZAT a.s.
Results: Scheduling Algorithms for Time-Sensitive Networking, R, 2019

Library of software modules for modelling, control, and optimization of processes and systems, R, 2020

Sub-project is concerned with the following topics:

Modelling of complex technological processes, power systems and machines

The activities will be focused on the development of tools for high-fidelity modelling and numerically efficient simulation of technological components (steam turbine, nuclear reactor subsystems, synchronous generator, furnace and heat distribution systems, etc.) and their interconnected units within complex industrial processes, conventional and nuclear power plant systems and power networks.

Optimal control design for complex processes and distributed parameter systems

The research will be focused on the development of novel control strategies and their implementation in industrial processes, power systems and mechatronic systems in the context of Industry 4.0. The key objective is to automate the process of control system implementation, its initialization, and control parameter adaptation throughout the life cycle of the controlled technology.

Combinatorial optimization algorithms for planning and scheduling in industry

The algorithms will be used by the designers of robotic cells to plan collaboration of robots, to schedule distribution of the tasks among them and to anticipate alternative production plans. The solution will optimize on various aspects of the system, such as robot speeds, path selection, assignment of operations, and order of operations.

High-performance and energy-efficient control of industrial electrical drives

The aim is to develop advanced control strategies of AC motors which are able to track these changes and to adapt the control law in a way that the efficiency is maximized in a whole operating range. This approach will help to reduce motor warm ups due to losses minimization. The motor control will require lower derating and the maximization of active power will be achieved.

This project is supported by the Technology Agency of the Czech Republic within the programme National Centres of Competence 1: Support programme for applied research, experimental development and innovation.