Course detail

Adaptive and Optimal Control of Drives

FEKT-NARPOptional specializedMaster's (2nd cycle)Acad. year: 2017/2018Winter semester2. year of study6  credits

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 drive

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

Mode of delivery

90 % face-to-face, 10 % distance learning

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

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

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

English

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

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

Computer exercise

26 hours, compulsory

Teacher / Lecturer