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Control engineering - course description

General information
Course name Control engineering
Course ID 06.9-WE-AutP-ContrEng-Er
Faculty Faculty of Computer Science, Electrical Engineering and Automatics
Field of study WIEiA - oferta ERASMUS / Automatic Control and Robotics
Education profile -
Level of studies First-cycle Erasmus programme
Beginning semester winter term 2018/2019
Course information
Semester 4
ECTS credits to win 6
Course type obligatory
Teaching language english
Author of syllabus
  • dr hab. inż. Wojciech Paszke, prof. UZ
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Lecture 30 2 - - Exam
Laboratory 30 2 - - Credit with grade

Aim of the course

Skills and competencies needed to model, analyze and design of linear dynamical systems with time and frequency domain methods.

Prerequisites

Mathematical analysis, Mathematical foundations of engineering, Modeling and simulation. Signals and dynamic systems.

Scope

Control of continuous systems: Feedback control: performance indexes, disturbance Rejection and sensitivity, steady-state error, response of closed-loop system.

Introduction to modeling of simple electrical and mechanical systems in time frequency domains. State-space representation. Converting a Transfer Function to State Space and vice versa.

Block Diagrams of feedback systems. Signal-flow graphs. Mason’s rule. Signal-flow graphs of state equations.

Time response. Poles,  zeros, and system response. Analysis of first order systems. Basic performance indexes. The second order system. System response with additional poles. System response with zeros. Time domain solution of state equations.

Root locus method: Root locus of  basic feedback systems. Guidelines for sketching a root locus, controller parameters selection based on a root locus. Controller synthesis with dynamic compensation method (lead and lag compensation), parameters selection for lead and lag compensators. Application of the root locus method for nonlinear systems and systems with delays.

Frequency response method: Frequency response: mathematical foundations, determination of bandwidth. Bode plot techniques: drawing plots for systems with real and complex poles, non-minimal phase systems. Steady-state error. The Nyquist stability criterion: Nyquist plots, applications of the Nyquist stability criterion for controller design, stability margins (phase and gain margins). Relation between closed-loop transient and closed-loop frequency responses. Relation between closed- and open-loop frequency responses.  Relation between closed-loop transient and open-loop frequency responses. Steady-state error characteristics from frequency response.

Designing Lead and Lag Compensators. Transient Response via Gain Adjustment. Lag and Lead Compensators. Lead-lag compensator design  using either root locus or frequency response

Classical Three-term (PID) controller: Basic features, PID controller tuning with analytical and Ziegler-Nichols methods. Robustness analysis: disturbances and uncertainty. Digital implementation of continuous controllers.

Teaching methods

lecture: classical lecture,

laboratory: laboratory exercises, projects carried out in two-person group.

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Lecture – obtaining a positive grade in written or oral exam.

Laboratory – the main condition to get a pass is scoring sufficient marks for all laboratory exercises.

Recommended reading

1.      Nise N.S.: Control Systems Engineering, 6th Edition International Student Version, John Wiley & Sons, Inc. , 2011.

2.      Golnaraghi F., Kuo B.: Automatic Control Systems, 9th Edition, John Wiley & Sons, Inc., 2010.

3.      Franklin G.E, Powell J.D. Emami-Naeini A.: Feedback Control of Dynamics Systems. Addison-Wesley, Upper Saddle River, New Jersey, 2002

4.      Dorf, J.C., Bishop R.: Modern Control Systems, Prentice-Hall, 2002

Further reading

1.     K.J. Åström, R.M. Murray, Feedback Systems: An Introduction for Scientists and Engineers, Princeton University Press, Princeton, 2009.

Notes


Modified by dr hab. inż. Wojciech Paszke, prof. UZ (last modification: 28-04-2020 10:25)