Course detail

# Adaptive and Optimal Control of Drives

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.

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

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.

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
Target tracking servomechanism
Discrete control and computer realization
Real time parameter identification
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

Classification of course in study plans

• Programme EEKR-M1 Master's

branch M1-SVE , 2. year of study, winter semester, 6 credits, optional specialized

• Programme EEKR-M Master's

branch M-SVE , 2. year of study, winter semester, 6 credits, optional specialized

#### Type of course unit

Lecture

39 hours, optionally

Teacher / Lecturer

Exercise in computer lab

26 hours, compulsory

Teacher / Lecturer