Information Package

Master's of Mechanical Engineering without Thesis

MAK542

FUZZY LOGIC CONTROL

Course Code
MAK542
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. An ability to apply knowledge of mathematics, science, and engineering
  2. An ability to design fuzzy logic controllers
  3. An ability to identify, formulate, and solve engineering problems
  4. An understanding of professional and ethical responsibility
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionProperties of set theory: Fuzzy numbers, membership functions, operations on fuzzy sets, fuzzy If-then rules. Properties of fuzzy controllers: Fuzzification and defuzzification methods, fuzzy implications and inference. Fuzzy controllers: Fuzzy PID-type controller, Fuzzy inverse control, Neuro-fuzzy systems.
Course Contents
WEEK TOPICS
1st Week Administrative Matters Introduction, Motivation, Overview.
2nd Week Fuzzy Sets Theory
3rd Week Fuzzy Logics
4th Week Linguistic Approach and Linguistic Approximation
5th Week Fuzzy Numbers
6th Week Fuzzy Set Applications: Decision Making
7th Week Pattern Recognition
8th Week MIDTERM
9th Week Cluster Analysis (Graph Theoretical Approach):
10th Week Cluster Analysis (Functional Minimizer Approach)
11th Week Fuzzy Algorithms
12th Week Fuzzy Logic Control: Comparison of FLC with Conventional Controller
13th Week Fuzzy Logic Control: FLC Development Phase, FLC Compilation Phase, Run-time Phase,
14th Week Fuzzy Logic Control: Hierarchical Control, Industrial FLC Applications, Exercise in KB Development, Tuning, Analysis
Recommended or Required ReadingFuzzy Logic with Engineering Applications, Timothy J. Ross, ISBN- 978-0470743768
Planned Learning Activities and Teaching Methods
  • Lecture
  • Practice
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Assignment 5 20
Total(%) 55
Contribution of In-term Studies to Overall Grade(%) 55
Contribution of Final Examination to Overall Grade(%) 45
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 3 3
Preparation for Quiz
Individual or group work 14 5 70
Preparation for Final exam 1 50 50
Course hours 14 3 42
Preparation for Midterm exam 1 30 30
Laboratory (including preparation)
Final exam 1 3 3
Homework 5 20 100
Total Work Load298
Total Work Load / 30 (h)9.93
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1 X X
K2
K3 X
K4
K5 X X
K6 X
K7
K8
K9
K10
K11