Lines of prepration: Aviation
and cosmonautics. Computerized systems, automation and control.
Major subjects: Systems
of Control and Automation. Control
Systems of Flying Machines and their Complexes.
Brief annotation of the major subject:
Students learn how to design by mean of up-dated informartion technologies and how to control various aerospace, power and other objects and processes as well as how to develop optimal and intelligent algorithms of control, use principles of control in technical and man-machine systems, develop architecture of computer systems and use computers to solve the problems of control of objects in real time; students also learn how to create software of computer intelligent control systems by applying up-dated technologies of visual programming.
4 years of training
Theory of probability
and mathematical statistics
Experimental and
theoretical physics
Chemistry
Theory of magnetic
and circuits
Life activity safety
Mechanical engineering
Engineering and computer graphics
Theory of automated control
Metodology, measurement and standartization
Investigation of operations and mathematical programming
Electronics and
circuit engineering
Basis of discrete
mathematics
Theory of information
and coding
System programming
Control system and
automation elements and devices
Architecture of
computer systems
Design of devices and
control systems
1,5 years of training
Disciplines for special study
Optional disciplines
Interfaces of control
systems
Integrated computer
systems of designing
Space aircraft and
systems control
Systems of
orientation and stabilization
Guiding and
navigation systems
Designing of devices
and control systems
Servodrives of
control systems
1,5 years of training
Disciplines for independent study
Optional disciplines (for independent choice)
Interfaces of control
systems
Integrated computer systems
of designing
Space aircraft and
systems control
Systems of
orientation and stabilization
Guiding and
navigation systems
Introduction into the
theory of neuronetworks and neorosignals. Intelligent automated control
systems.
Adaptive and
optimalautomated control systems.
3 years of training
1.
Control systems and
processes
2.
Automated control systems
and advance information technologies
Leading instructors:
Kulik Anatoly Stepanovich - Professor, D. Sc.
1.
Anatoly Kulik, Nataliya Razinkova. Algorithmic fault –
tolerance support for a gyroscopic – sensor unit// 3 rd IFAC Symposium on
Intelligent Autonomous Vehicles (IAV‘98) Universidad Carlos III de Madrid,
2.
Kulik A.S. Fault Diagnosis in Dynamic Systems via
Signal–Parametric Approach // IFAC/IMACS Symposium on Fault Detection,
Supervision and Safety for Technical Process – SAFEPROCESS’91, Sept. 10 – 13,
3. Кулик А.С. Сигнально – параметрическое
диагностирование систем управления – Харьков: Гос.
Аэрокосмический университет «ХАИ», Бизнес Информ,
2000.– 260 с.
Signal-parametric
diagnosis of control systems.
1. Прецизионная система ориентации и стабилизации
космического аппарата «Спектр»// 46-й Конгресс Международной федерации
астронавтики. Тезисы докладов, Осло,
Норвегия.–1995.
“Spectr” space aircraft precision stabilization and
orientation system.
2.
Yakov Yе. Eisenberg. Victor A. Batayev. High
Accuracy Stabilization System of Launch Vehicle with Asymmetric Configuration
when One Engine Failure is Possible// 48 th IAF Congress,
1. Кортунов В.И., Кулик А.С.
Алгоритмический контроль
работоспособности реактивных двигателей космического летательного аппарата // Космічна наука і
технологія. – 2001. – Т.7. – № 5/6. – С. 8 –12.
Algorithmic
control of operational capability of space craft jet engines.
2. Кортунов В.И. Робастная
фильтрация на основе итерационно-инверсных моделей // Зарубежная
радиоэлектроника. Успехи современной
радиоэлектроники. – 2002. – №4. – С. Н – 64
Robust
filtration on basis of iterated-inverse models.
3.
Кортунов В.И. Синтез номинальных моделей в задачах управления
и наблюдения // Радиоэлектроника и информатика. Харьков: ХДТУРЭ, 2002. – №1. –
С. 45 – 49.
Synthesis
of nominal models within the problems of control and observation.