455-0321/01 – Control Systems Theory and Design (RS)
Gurantor department | Department of Measurement and Control | Credits | 6 |
Subject guarantor | prof. Ing. Vilém Srovnal, CSc. | Subject version guarantor | prof. Ing. Vilém Srovnal, CSc. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 1 | Semester | winter |
| | Study language | Czech |
Year of introduction | 1999/2000 | Year of cancellation | 2009/2010 |
Intended for the faculties | FEI | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The goal of subject is introduce students on control systems design. This part is needed for studying the branch of study Measurement and Control.Students will be ready for practical analyzes and designs of linear and nonlinear feedback control systems using computers and simulation program MATLAB and SIMULINK. They will be also ready for practical designs of optimal and adaptive feedback control systems This subject is suitable for students another branches of study, which want familiarize control system theory.
Teaching methods
Lectures
Individual consultations
Tutorials
Experimental work in labs
Project work
Summary
There are explaining designs of continuos-time and discrete-time linear control systems. Learners are introduce on nonlinear feedback control systems analyze and design - base nonlinear characteristics, stability and design. Learners are introducing also on optimal control systems - methods of optimization and their using. In the last part learners are introduce on adaptive and learning control systems.
Compulsory literature:
K.J. Astrom, R.M. Murray: Feedback Systems. Princeton University Press 2008
G.F. Franklin, J.D. Powell, A.E: Feedback Control of Dynamic Systems. Adison-Wesley 2002
Recommended literature:
Franklin,G.F.,at all.:Digital Control of Dynamic Systems. Adison-Wesley 1992
Lewis,F.L.: Optimal Control. John Wiley&Sons 1992
Ogata,K.:Modern Control Engineering. Prentice-Hall 1990.
Ogata,K.:Discrete-time Control Systems.Prentice-Hall 1987.
Shinners,S.M.:Modern Control System Theory and Design. John Wiley&Sons 1986
Way of continuous check of knowledge in the course of semester
Verification of study:
One test and credit test and two individual tasks or one wasted individual semestral project. Days of delivery individual works electronic or writing documents (5,10 and 14 week or 14 week for project).
Area and form. Individual works contain model program and documentation for laboratory computer. Students demonstrate their tasks solving on computer. Credit tests confirms theoretic knowledge of students.
Closing Test - writing part of examination .
Theoretical part of test consist 20 questions, which verify global student's knowledge . Practice part of test (4 examples) student prepares on paper or on computer. Total test time is 180 min.
Conditions for credit:
Study Classification .
Exercise credits - student is classifying on base 1 test 0-10 points, 2 individual works 0-5 points and individual project 0-15 points. Credit test 0-10 points. Award of 14 th. week. Condition for receiving is min. 10 points, maximum of receiving points is 35.
Examination - Writing part - Closing test - theoretical part 0-20 points, practical part 0-30 points, total 0-50 points. Oral part 0-15 point.
Total classification 51-100 points according study rules.
E-learning
Other requirements
Prerequisities
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
Continuos-time Linear Control Systems Design. Compensation and Design Use the Bode-diagram Method. Optimal Module Method .
Optimal Time-domain Response Method, Ziegler-Nichols Method, Root-locus Method and Other Methods of Designs . Continuos-time Linear Control Systems Design in. State Space .
Forked feedback Control Systems with Secondary Controlled Quantity, with Secondary Actuating Quantity, with Noise Measurement and with Model of Controlled System . Multidimensional (Multivariable) Feedback Control Systems .
Discrete-time (Digital) Linear Control Systems design with sampling. Continuos-time Correction Unit Design. Digital Correction Unit Design . Ragazzini's Method . Desired Characteristic of Control Transfer Function.
Desired Characteristic of Noise Transfer Function . Control systems with two Correction Units . Design According to Desired Overshooting.
PSD Controllers. Hybrid Control Systems. Digital Multivariable Control Systems .
Nonlinear Feedback Control Systems . Characteristics of Nonlinearities. Methods Available for Analyzing Nonlinear Feedback Control Systems . Linearizing Approximations .
Nonlinear Control Systems Stability . Liapunov's Stability Criteria.
Popov's Stability Criterion . Describing-function Analysis Nonlinear Feedback Control Systems .
Optimal and Adaptive Control Systems . Characteristic of the Optimal Control Problem . Optimality Criterions . Linear Programming . Numerical Methods Searching of Extremum of Functions.
Technological Processes Static Optimization . Extremal controllers .
Dynamic Optimization . Calculus of Variations . Pontryagin's Minimum Principle . Dynamic Programming .
Adaptive Systems Structure. Learning Systems Structure. Adaptive Identification and Control with Model.
Adaptation Methods . Pattern Recognition .
Exercises:
Test
Questions of Continuous and Discrete Linear Control Systems Design.
Questions of Non-linear Control Systems.
Questions of Optimal Control System Design.
Questions of Adaptive Models of Control Systems.
Laboratories:
Discret controller design and its testing on the physical model.
Nonlinear control system design and its testing on the physical model.
Optimal controller design and its testing on the physical model.
Projects:
All students received two individual tasks or one wasted individual project, which are disposed on personal computer.
Computer labs:
Examples of Continuous Linear Control Systems Design. Solving on PC. Homework No.1: Solving of Continuous Linear Control Systems Design.
Examples of Continuous Linear Control Systems Design. Solving on PC. Homework No.2 : Discrete-Time Linear Control Systems Design.
Examples of Forked Feedback Control Systems Design. MIMO Control Systems Design. Solving on PC.
Examples of Digital Controller Design. Solving on PC.
Examples of Nonlinear Control System. Solving on PC.
Examples of Stability Criterion of Nonlinear Control Systems. Solving on PC.
Examples of Optimal Criterion of Control Systems. Solving on PC.
Examples of Adaptive Control Systems. Solving on PC.
Examples of Adaptive Control Systems. Solving on PC.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction