Objective of the course – aims of the course unit:
To acquire knowledge of optimal and adaptive control theory with application to electrical drives
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Objective of the course – learning outcomes and competences:
To acquire knowledge of advanced control theory and apply it to control of electrical drives
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Prerequisites:
The subject knowledge on the Bachelor´s degree level is requested.
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Course contents (annotation):
Basic optimal control, linear quadratic regulator, Kálmán filter, application for control of electrical drives. Principles of adaptive controllers, model refrence adaptive control (MRAC), self-tuning regulator (STR), digital realization of controllers, application to electrical drives.
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Teaching methods and criteria:
Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.
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Assesment methods and criteria linked to learning outcomes:
Individual project
Written and oral examination
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Course curriculum:
State controller
Linear quadratic regulator
Target tracking servomechanism
Discrete control and computer realization
Adaptive control
Real time parameter identification
Model reference adaptive control
Regulator design methods
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Specification of controlled education, way of implementation and compensation for absences:
Computer laboratory
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Recommended reading:
Astrom, Wittenmark: Adaptive Control, Addison-Wesley Dorato, Abdallah, Cerone: Linear-Quadratic Control, Prentice Hall Ogata: Modern Control Engineering, Prentice Hall Ioannou, Jing Sun: Robust Adaptive Control, Prentice Hall
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