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.
Direction: AvionicsBrief 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.
Main published works:
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, 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, Baden – Baden /FRG.–1991. Vol. B.– pp. 111 – 117.
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.
Main published works:
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, Turin,
Main published works:
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.