Issued topics of Doctoral Study Program:|
- AC Drives Contol based on NMPC Algorithms
The topic is focused on development of AC drives advanced control algorithms. In the initial phase the student will study namely non-linear model predictive control algorithms. The research will be then aimed on analysis of NMPC algorithms behaviour for systems with fast dynamics and computational optimization of the algorithms with respect to possible implementation in drives control systems. The topic will be solved in relation to national and international projects running in cooperation with industrial partners.
- Advanced data represenatation, processing and analysis
Research in the fields of context independent data representation, semantic mapping and process data analysis. The intended research will be focused to utilization of data saved taking advantage of the existing Semantic Sensor Network Ontology for process monitoring purposes, evaluation of temporal constrains of tripplestores with regard to real-time query processing. The research will also focus to data analysis methods aiming to detect non-standard events, process deviations, and other anomalies taking advantage of the stored context in order to reduce false positives.
- Application of Advanced Ultrasound Methods in Technical Diagnostics
The topic is aimed to the research of the methods and algorithms for characterization of ultrasound sensors and ultrasound sources. The intended research will be focused on finding relation between electrical and mechanical frequency response of the sensors and sources under various working conditions. The goal of the work is implementation of the new methods and algorithms for calibration of the sensors and localization of the multiple ultrasound sources or reflective objects in solid, liquid, or gaseous environment.
- Application of orthogonal functions for fractional order LTI SISO systems modelling.
The theme is focused on the modeling of fractional order LTI SISO systems using orthogonal functions. As part of his solution the doctoral student will study the properties of generalized Laguerre functions with non-integer parameter generalization. Research will focus on exploiting these properties for the design of dynamic systems models of fractional order and their practical implementation and verification of their properties. Solving the topic will take place in relation to national and international projects.
- Autonomous Environment Measurement Using Mobile Robotic Systems
The topic aims to the issues of autonomous measurement of environmental parameters using mobile robots. The main research targets are so-called CBRN threats (namely radiation measurement), autonomous search for people and guarding the perimeter. The robot must be able to work in real, unmodified outdoor environment. The designed system has to be able to solve the problems not only autonomously, but also efficiently and safely. The vital part of the project is also effectivity evaluation, i.e. composition of proper metrics for different approaches comparison.
- Autonomous 3D Local Map Building in Mobile Robotics
The topic aims to the methods for local 3D map creation for Unmanned Ground Vehicles or cars working in common, unmodified outdoor environment. The research target is also selection of suitable sensors for data-fusion so that the algorithms will be successful in a wide range of real situations. The main problem to be solved will be the one of the poor conditions in terms of visibility (fog, darkness, rain). The work will also include techniques suitable for the detection of moving obstacles in the scene - type of person or vehicle.
- Localization of sound and vibration sources with non-contact methods
The topic is aimed to the research of the methods and algorithms for non-contact localization and characterization of sound and vibration sources. Issues related especially with analysis of the sources with near-field acoustic holography method using microphone array will be studied with respect to its applicability for localization in confined space with reflections and other noise sources and also to increase the prediction accuracy with data fusion from other spatial measurement systems. In addition to the theoretical work, practical implementation of these methods and optimization of calculation algorithms for use in the field of non-contact vibrodiagnostics and localization of noise sources in mechanical systems will be carried out.
- Methods for vibrodiagnostics of non-rotating machines
The topic is aimed to the research of the methods and algorithms for vibration diagnostic of non-rotating machines, especially for diagnostic method of bearings and gearboxes working under non-stationary conditions. Research will be focused on limiting factors in identification of actual methods for machines with a variable speed. Possibilities of modification or combination of these methods will be studied for achieving mechanical particles state estimation with better accuracy. In addition to the theoretical work, practical implementation and verification of these methods will be accomplished on mock-up.
- Model Order Reduction for Complex Systems Control
The topic is focused on the problem of model order reduction and related computation complexity reduction of dynamical systems models. The research will deal with methods suitable for linear as well as non-linear systems with respect to preserving system constraints. The goal of the work is to allow application of advanced control methods like MPC for systems, where direct application is not computationally feasible because of high model dimension. The studies will be performed in close relation to international and national research projects in cooperation with industry.
- Modeling and analysis of cyber-physical system with a human operator
Research focused to elimination of the influence of disturbances introduced into the control system by a human operator due to biophysical characteristics of humans. Research will be focused on measuring and modeling of the movement of the upper limbs in connection with cyber-physical control system by means of electro-mechanical element in order to find a method for separating the active ingredient from the movement disturbances caused by, for example, muscle oscillations. Consequently propose a method to eliminate the disturbances. Part of the research will be focused to quantification of benefits of training, thus assessing the impact of neuro-muscular subsystem on the ability of the operator to implement motion with minimal error component. To verify the model and the proposed methods flight simulators provided by the cooperating workplace (UNOB) will be used.
- Modelling of special safety function with respect on industrial Ethernet
The topic is aimed on research of new special safety functions special safety functions models for machinery and the process safety. The objectives of the thesis consist of the a thorough analysis of the current safety function models, research a thorough analysis of the current models available safety functions, examining the impact of communication, particularly an industrial Ethernet. The student will be designed new models on the base on the analysis and will develop new algorithms for verification of the relevant safety logic functions and security elements for machinery and process safety. The topic will be solved in relation to national and international projects running in cooperation with industrial partners.
- Optimal Control of Elevator Group
Design a new method for optimal control of the elevators with regard to system throughput, availability and speed of serving and energy consumption. For the design of new control methods perform the research in the field of statistical processing behavior of elevator groups and the behavior of people using these elevator groups under varying conditions. Furthermore, perform a research intended to recognize and describe the behavior of people in the elevator groups and surveys occupancy of the cabins. Carry out research into the use of artificial intelligence (fuzzy logic, genetic algorithms, artificial neural networks, etc.) and suggest the optimal method for managing the group management with regard to the defined requirements.
- Optimal control of industrial robotic systems
Design a new method for optimal control of industrial robotic systems with regard to energy consumption and time reachability of robotic industrial system. A new method of optimal control has to be designed taking into account the requirements of complex automation systems, conceived as compatible with the requirements of Industry 4.0. Create a model of the robotic system, model the physical and technical properties and demonstrate the benefits of optimal control of a newly designed control method. The research will be focused to new methods for "Energy-optimal movements" in industrial robots. Topic will be addressed in cooperation with FME BUT.
- Resilient systems
Research in the field of resilient systems and methods that enable to achieve resislience of technical systems with primary focus to embedded systems and communication systems. The intended research fields include analysis and systhesis of methods that are curerntly used to achieve functional safety and cybersecurity, including establishment of metrics for quantification of the achieved resilience level.
- Self-tuning controllers in electrical drives
Proposed topic concentrates on a field of automatic control which deals with self-tuning controllers for electromechanical systems. The aim is to propose identification experiments leading to system model with successive automatic controller / controllers tuning. After the analysis of existing solutions, the effort will be concentrated on multi-mass systems with flexible couplings where actual approaches sometime fail. The results are expected in a form of identification and control algorithms being tested in simulations in the environment of Matlab Simulink or Modelica and finally implemented and validated on a real hardware platforms and real electrical drives.