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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS MEE 5024 NON-LINEAR CONTROL ELECTIVE 3 0 0 9

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ZEKI KIRAL

Offered to

Mechatronics Engineering Machine Theory and Dynamics M.Sc. Mechatronics Engineering Mechatronics Engineering Machine Theory and Dynamics Machine Theory and Dynamics

Course Objective

The aim of this course is to give the analysis methods of non-linear control systems.

Learning Outcomes of the Course Unit

1   To define linear and non-linear control systems. 2   To construct open and closed-loop control structures for non-linear systems. 3   To make stability analysis of non-linear control systems. 4   To solve input-output relationship of non-linear control systems. 5   To determine the optimum control parameters for non-linear control systems.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to control systems. 2 Classical definitions for linear control syetems. 3 Sources of non-linearities. 4 Non-linear control systems: Definitions. 5 Limit Cycles. 6 Lyapunov stability criteria. 7 Lyapunov stability criteria. 8 Midterm. 9 Linearization, integral control and gain scheduling. 10 Computer modeling of non-linear control systems: Basic elements in Matlab Simulink. 11 Computer modeling of non-linear control systems: Solution in Matlab Simulink. 12 Computer modeling of non-linear control systems: Visualization and interpretting of solutions. 13 Discussions on case studies. 14 Discussions on case studies.

Recomended or Required Reading

Textbook: Nonlinear Control Systems: Analysis and Design, Horacio Marquez, Wiley, 2003.

Planned Learning Activities and Teaching Methods

Power Point presentations and computer applications.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 ASG ASSIGNMENT 2 MTE MIDTERM EXAM 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE ASG * 0.30 + MTE * 0.30 + FIN * 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.30 + MTE * 0.30 + RST * 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

The success of the students is evaluated by assignments, mid term and final exam.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

zeki.kiral@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 13 8 104 Preparing assignments 3 15 45 Preparation for midterm exam 1 12 12 Preparation for final exam 1 12 12 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 218

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 LO.1 4 3 4 LO.2 4 3 4 LO.3 4 3 4 LO.4 4 3 4 LO.5 4 3 4