455-0510/01 – Grouding of Cybernetics (ZK)
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 | 3 | Semester | winter |
| | Study language | Czech |
Year of introduction | 2003/2004 | Year of cancellation | 2003/2004 |
Intended for the faculties | FEI | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
The goal of subject is introduce bachelor students on analyze and design of dynamic systems and feedback control systems. Students will be ready for practical analyzes and designs of simple linear and nonlinear feedback control systems using computers and simulation program MATLAB and SIMULINK. They will be also ready for base analysis of optimal and adaptive feedback control systems This subject is suitable for students another branches of study, which want familiarize control system theory for bachelor study.
Teaching methods
Lectures
Individual consultations
Tutorials
Experimental work in labs
Project work
Summary
There are explaining base notions and characteristics of control systems. Learners are introduce on analyze continuous and discrete linear dynamic systems. Analyze of linear control systems in frequency-domain and time-domain. Stability of control systems, static accuracy and control quality. There are explaining designs of continuos-time and discrete-time linear control systems. Learners are briefly introduce on nonlinear feedback control systems, optimal control systems and adaptive control systems.
Compulsory literature:
Srovnal,V: Grouding of Cybernetics. Student text book web site FEI, 2007
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:
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 (6 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 0-35 points, total 0-55 points. Oral part 0-10 point. Total classification 51-100 points according study rules.
E-learning
Other requirements
Prerequisities
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
General Concept of Control System Design. Types of Control System. Characteristics of Control Systems. Examples of Regulation. Base Concepts and definition of system theory. Dynamic Systems.
Continuos-time Linear Systems Analysis. Block and signal diagrams. Basic Dynamic Systems - Proportional, Integral, Derivative and General First Order System, Second Order System, Transport Lag -Time Delay (dead time).
Discrete-time Dynamic Systems Analysis. Differential Equation. Discrete Transfer Function. Impulse and Unit Step Response sequence. Basic Types of Discrete-time Systems. Zero, Firs and Second Order Systems Discrete Transfer Function with Time Delay.
State Variable Representation. Analysis of Dynamic Systems in. State Space. Solution of State Equations. State Transition Matrix . State Variable Diagrams. Relationship between Conventional Methods and State-Space Methods. State Equations and Transfer-Function and their conversions.
Solution of State Equations of Discrete-time systems. State Transition Matrix . State Variable Diagrams. Relationship between Conventional Methods and State-Space Methods. State Equations and Transfer-Function and their conversions. Initial Conditions and Initial State. Discretization of Continuos-time Systems. Sampled Data Systems. Frequency Analysis of Sampling. Hold elements.
Stability of Continuos-time Linear Systems. Criterions of stability. Stability of Discrete-time Linear Systems. Methods of systems identification.
Structures of Feedback Control Systems. Characteristic of Linear Feedback Control Systems. Analysis of Feedback Control Systems . Standard Transfer Functions of Feedback Control Systems .. Stability Linear Feedback Control Systems. Nyquist Stability Criterion.
Analysis of Continuos-time Linear Control Systems . Static accuracy . Dynamic Characteristics . Quality of Regulation. Integral Criterions of Quality. Frequency Analysis.
Continuos-time Linear Control Systems Design. Methods of Designs .
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.
Nonlinear Feedback Control Systems . Characteristics of Nonlinearities. Methods Available for Analyzing Nonlinear Feedback Control Systems . Linearizing Approximations . Nonlinear Control Systems Stability .
Optimal Control Systems . Optimality Criterions . Static and Dynamic Optimization . Extremal controllers .
Adaptive Control Systems . Adaptive Systems Structure. Adaptive Identification and Control with Model.
Projects:
All students received 3 individual projects, which are disposed on personal computer.
Computer labs:
Introductions to practice, class ticket requirements. Exercises of Control System Design in Laboratory.
Conventional Continuos Linear Systems Analysis . PC Verification .
Homework No. 1: Simulation of Continuous-Time Linear Systems on PC.
Conventional Discrete-Time Linear Systems Analysis . PC Simulation.
Modeling of Continuos Linear Systems and Discrete-Time Linear Systems in State-Space on PC .
Solution of State Equations of Discrete-Time Linear Systems . PC Verification .
Graphical and Numerical Criterions of Stability. PC Verification. Verification of Systems Identification
Control Systems Analysis , PC Simulation.
Quality of Regulation Exercises , PC Verification.
Continuous Control Systems Design. PC Simulation .
Forked Feedback Control Systems Design.. MIMO Control Systems Design. PC Verification.
Digital Correction Unit Design. Modeling of Discrete-Time Linear Control Systems on PC.
Non-linear Control Systems Design. PC Simulation.
Optimality Criterions Exercises. Optimal Control System Design on PC
Adaptive Models of Control Systems . Exercises . PC Simulation.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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