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Original title in Czech: Kybernetika, automatizace a měřeníFEKTAbbreviation: PP-KAMAcad. year: 2014/2015
Programme: Electrical Engineering and Communication
Length of Study: 4 years
Profile
Goals of this program are to educate most qualified specialists for research and scientific development as well.
Key learning outcomes
Graduates have outstanding knowledge in special area, determined by his/her PhD. project. Special orientation is given by thesis;graduates are qualified for high positions in all branch. Leader of research team,managers in industry.
Occupational profiles of graduates with examples
The graduate of the subject field obtains broad knowledge of subject of cybernetics control and/or measuremet. The knowledge is build mainly on theoretical background of the subject. Moreover the graduate will obtain deep special knowledge aimed in direction of his/her thesis. The graduate will be able to perform scientific and/or applied research based on up to date theoretical knowledge. The graduate will be able to organize and lead a team of researchers in the studied subject.
Guarantor
prof. Ing. Pavel Václavek, Ph.D.
Issued topics of Doctoral Study Program
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.
Supervisor: Václavek Pavel, prof. Ing., Ph.D.
Academic dissertation deals with a research and development of robust algorithms and methods for combination of an image data obtained from a various linear or matrix sensors. The theme is especially focused on autonomous mapping and self-localization tasks in robotics. The core of this thesis contains a software design, implementation and subsequent analysis of methods convenient for fusion of data from several various sensors intended for measuring of distance, color/temperature or others quantities employed for autonomous control of robot indoors. There are a plenty of devices suitable for thesis solution e.g. VIS/IR sensors on simple or stereo rig and moreover some distance sensors or devices measuring others quantities effectively improving resulting image data.
Supervisor: Horák Karel, Ing., Ph.D.
Perform a bibliographic search of application orthogonal function for prediction. Focus on such orthogonal functions which are called double orthogonal, especially prolate spheroidal wave functions. Analyze the fundamental problems of this prediction such as the influence of sampling frequency, the effects of noise, etc. Propose a suitable algorithm on the base of the analysis and compare results with known methods.
Supervisor: Jura Pavel, prof. Ing., CSc.
The aim is to propose a system for autonomous measurement and analysis of environmental parameters in environment air and water in reservoirs. In environment air, temperature, air pressure, radiation, chemical contamination should be measured, in water temperature, pH, O2, nitrates, wrack, heavy metals, etc. on exact locations. Besides practical realisation of the sensory and locomotion subsystems, it is necessary to make a system for accurate self-localisation, navigation, and trajectory planning, including energy consumption and necessary time optimisation. Expert consultant is Prof. Blahoslav Marsalek from Research Centre for Toxic Compounds in the Environment, MU Brno.
Supervisor: Žalud Luděk, prof. Ing., Ph.D.
Research in the field of implementation of software algorithms in hardware focusing to implementation of standard OS kernel algorithms aiming to increase functional safety of applications running on the operating systems used in embedded systems. The aim is to reduce time delays between the fault occurrence and the consequent error detection thus limiting spread of the error within the system. Seconary goal is improvement of reliability of embedded systems that use standard operating systems on the embedded platforms (LINUX etc.) The research will be focused to improvement of functional safety of applications based on standard HW platforms like ARM and/or CPUs implemented in SW on FPGA based platforms. Intended solution will be developed using formal specification of the algorithms and their coding in VHDL to enable FPGA based implementation.
Supervisor: Bradáč Zdeněk, doc. Ing., Ph.D.
Research in the field of implementation of software algorithms in hardware focusing to implementation of real-time OS kernel algorithms aiming to reduce jitter and variability of time-domain performance of the RT OS scheduler. The goal is to improve time-domain parameters of the OS to reduce influence of the OS itself on the real-time performance of the running tasks. The research will be aimed to improvement of the scheduler part of the OS. Intended solution will be developed using formal specification of the algorithms and their coding in VHDL to enable use of state of the art FPGAs.
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.
Supervisor: Beneš Petr, doc. Ing., Ph.D.
The topic is aimed on testing and calibration of the vibration sensors and angular rate sensors for inertial motion units. The objectives of the thesis consist of the analysis of parasitic effects, which affect the overall measurement uncertainty, and the search for new methods for their suppression. There will be available calibration system SPEKTRA CS18 and Dynamic Motion Simulator RMS SDL05 for the research. The topic is going to be supported by Honeywell HTS CZ.
The topic is aimed to the research of the methods and algorithms for vibration diagnostic of rotating machines, especially for diagnostic method of bearings and gearboxes working under non-stationary conditions. The research will be focused on limiting factors in identification of actual order analysis methods for machines with a variable speed. Possibilities of modification or combination of order analysis methods will be studied for achieving better accuracy of mechanical parts condition estimation. In addition to the theoretical work, practical implementation and verification of these methods will be carried out on rotating machine mock-up.
The first task of this work is to develop models of multiphase and multiplex windings AC drives with the possibility to simulate common faults in these devices. Next part of the work will be oriented to algorithms which enables to monitor these faults firstly with the help of commonly used sensors (phase currents, DC bus voltage, rotor position) and secondly with the help of redundant sensors so as to reach higher reliability of the drive. The goal of the last stage is to design control algorithms which will guarantee partial functionality under the fault conditions.
Supervisor: Blaha Petr, doc. Ing., Ph.D.
The theme of the Ph.D. thesis will be focused on the research in the area of patterns of behaviour of the human viewed as a single controlling element in the cybernetic system. The research and measurement of real parameters of systems and consequently the research and analysis of the results obtained from human (a pilot) behaviour simulation will be conducted. The investigation will be performed on a controlling element – a pilot controlling the flight of an aircraft - on the basis of the measurement of echoes and dynamic behaviour on a defined portfolio of stimuli. The results of the research and analyses will be further exploited for proposing optimal methodology in improving the training of civilian, alternatively also military pilots in training facilities.