Course detail
Adaptive and Optimal Control of Drives
FEKT-MARPAcad. year: 2017/2018
State control of electrical drives, state control with an observer, state control of servodrives, discrete state control,
basic optimal control, linear quadratic regulator, 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.
Supervisor
Learning outcomes of the course unit
Passed student is qualified:
- to describe structure electrcal controlled drives
- to derive state space equations of an electrical drive
- to design structure of control circuits for speed control and position control
- to design state controller
-to design linear quadratic controller
Prerequisites
Student's necessary prerequisities are knowledge of mathematics (differential equations, Laplace transform), of control theory (transfer functions, stability of feedback systems, methods how to design contrllers), of electrical machines (principle, static characteristics) and of power electronics (thyristor controlled rectifiers and transistor switch mode converters).
Co-requisites
Not applicable.
Recommended optional programme components
Not applicable.
Recommended or required 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
Skalický, J.: Stavové řízení el. pohonů, skripta FEKT, 2009
Planned learning activities and teaching methods
Numeric and computer excersises obtain idividual projects of controlled electrical drives, projects are itrodused inthe e- learning.
To get credit it is necessary to put into e- learning all projects
Assesment methods and criteria linked to learning outcomes
Student obtains: max 15 points for numeric excersises, max. 15 points for laboratory excersises and max 70 points for final examination: written part (45 points) and oral part (25 points).
Language of instruction
Czech
Work placements
Not applicable.
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
Aims
The goal of the subject is to acquire knowledge of linear state feedback control, optimal and adaptive control with applications to electrical drives
Specification of controlled education, way of implementation and compensation for absences
Computer laboratory is mandatory
Elaborated numeric excesises are mandatory
Compensation of an absence at laboratory after lecturer's recommendat
Type of course unit
eLearning
eLearning: currently opened course