Mechatronic Systems

Course Description

Principles of mechatronic design. Components and interfaces of mechatronic system. Development systems, real time running, simulation and application programming. Requirements on microcomputer control system. Intelligent sensor integration in mechatronic system. Criteria for algorithms selection. Optimal, adaptive and robust algorithms applications. Application of intelligent control in mechatronic systems. Degree of artificial intelligence. Mechatronics in production, transport and electrical vehicles.

General Competencies

Development of systems thinking in mechatronic product design. Ability of sinergistic integration of a mechatronic system components with achivement of the high degree of mechatronic product quality and intelligence.

Learning Outcomes

  1. explain the difference between classical and mechatronic approach to product design
  2. apply modern computer tools to design of mechatronic systems.
  3. explain V-procedure of design of mechatronic systems.
  4. design control algorithm for given mechatronic system
  5. analyze the effect of real implementation of control algorithms in mechatronic systems.
  6. apply modern computer tools in rapid control prototyping process

Forms of Teaching

Lectures

Lectures are organized in the first cycle (7 two-hours lectures).

Exams

Examination process consists of: midterm exam and the final exam where the students present their project results.

Seminars

Project work is organized throughout the second cycle (6 weeks) for the groups of 2-4 students.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Seminar/Project 50 % 40 % 0 % 0 %
Mid Term Exam: Written 30 % 40 % 0 %
Final Exam: Oral 20 %
Exam: Written 50 % 50 %
Exam: Oral 50 %

Week by Week Schedule

  1. Basics and characteristics of mechatronic systems. Examples of modern mechatronic systems.
  2. Mechatronic system design approaches (top-down, bottom-up, V-approach)
  3. Design of mechanical components in mechatronic systems. CAD tools.
  4. Control algorithm design methods in mechatronic systems.
  5. Analysis of vehicle dynamic behavior. Vehicle longitudinal dynamics. Vehicle longitudinal motion control system.
  6. Vehicle lateral dynamics. Vehicle lateral motion control system.
  7. Realization aspects of control algorithms in mechatronic systems
  8. Midterm exam
  9. Work on project
  10. Work on project
  11. Work on project
  12. Work on project
  13. Work on project
  14. Work on project
  15. Final exam (project presentation)

Study Programmes

University graduate
Control Engineering and Automation (profile)
Recommended elective courses (3. semester)
Electrical Engineering Systems and Technologies (profile)
Specialization Course (1. semester) (3. semester)

Literature

S.E. Lishevski (1999.), Electromechanical systems, electric machines, and applied mechatronics, CRC Press
P.Vas (1999.), Artificial Intelligence-Based Electrical machines and drives, Oxford University Press
O. Kaynak, S. Tosunoglu, M. Ang (1999.), Recent advances in Mechatronics, Springer-Verlag
J. Johnson, P. Picton (1995.), Mechatronics: Designing Intelligent machines, concepts in artificial intelligence (Vol.1), Butterworth-Heinemann

General

ID 34383
  Winter semester
4 ECTS
L1 English Level
L1 e-Learning
30 Lectures
0 Exercises
0 Laboratory exercises
0 Project laboratory

Grading System

87.5 Excellent
75 Very Good
62.5 Good
50 Acceptable