455-0022/01 – Control Systems Theory II (RSY2)

Gurantor departmentDepartment of Measurement and ControlCredits8
Subject guarantorprof. Ing. Vilém Srovnal, CSc.Subject version guarantorprof. Ing. Vilém Srovnal, CSc.
Study levelundergraduate or graduateRequirementChoice-compulsory
YearSemesterwinter
Study languageCzech
Year of introduction1992/1993Year of cancellation2008/2009
Intended for the facultiesFEIIntended for study typesMaster
Instruction secured by
LoginNameTuitorTeacher giving lectures
SOU75 Ing. Hana Soušková, Ph.D.
SRO30 prof. Ing. Vilém Srovnal, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 4+2

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

Summary

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. 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:

Ogata,K.:Modern Control Engineering. Prentice-Hall 1990. Ogata,K.:Discrete-time Control Systems.Prentice-Hall 1987.

Recommended literature:

Franklin,G.F.,at all.:Digital Control of Dynamic Systems. Adison-Wesley 1992. Lewis,F.L.: Optimal Control. John Wiley&Sons 1992 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: Two credit tests and three individual tasks or one wasted individual project. Days of delivery individual works by WEB 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 2 test 0-10 points and 3 individual works 0-5 points or individual project 0-15 points. Award of 14 th. week. Condition for receiving is min. 20 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

Další požadavky na studenta

Prerequisities

Subject has no 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 No. 1 : Continuous Linear Control Systems Analysis. Continuous Linear Control Systems Design. Test No. 2 : Forked Feedback Control Systems. Discrete-Time Linear Control Systems Design. Homework No. 3: Modeling of Nonlinear Control Systems on PC. Projects: All students received 3 individual projects, which are disposed on personal computer. Computer labs: Continuous Linear Control Systems Design. PC Verification . Homework No. 1 : Continuous Linear Control Systems Design. Continuous Linear Control Systems Design. PC Verification . Homework No. 2 : Discrete-Time Linear Control Systems Design. Forked Feedback Control Systems Design. MIMO Control Systems Design. PC Verification . Digital Correction Unit Design. PC Verification . Digital Correction Unit Design. Modelling of Discrete-Time Linear Control Systems on PC. Modeling of Nonlinear Control System on PC . Modeling of Nonlinear Control System on PC . Stability Criterion of Nonlinear Control Systems . PC Verification .

Conditions for subject completion

Full-time form (validity from: 1960/1961 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 35 (35) 0
                Laboratory work Laboratory work 15  0
                Written exam Written test 20  0
        Examination Examination 65 (65) 0
                Written examination Written examination 55  0
                Oral Oral examination 10  0
Mandatory attendence parzicipation:

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2005/2006 (M2612) Electrical Engineering and Computer Science (2612T018) Electronics and Communication Technology P Czech Ostrava Choice-compulsory study plan
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