AUTOMATIC CONTROL

 Title ΑΥΤΟΜΑΤΟΣ ΕΛΕΓΧΟΣ / AUTOMATIC CONTROL Code 129 Faculty Engineering School Mechanical Engineering Cycle / Level 1st / Undergraduate Teaching Period Spring Coordinator Panagiotis Seferlis Common Yes Status Active Course ID 20000289

Programme of Study: UPS of School of Mechanical Engineering

Registered students: 296
OrientationAttendance TypeSemesterYearECTS
CoreCompulsory Course636

 Academic Year 2021 – 2022 Class Period Spring Faculty Instructors Panagiotis Seferlis 5hrs Weekly Hours 5 Class ID 600192377
Course Type 2016-2020
• Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
• Face to face
Language of Instruction
• Greek (Instruction, Examination)
• English (Instruction, Examination)
Prerequisites
Required Courses
• 116 DYNAMICS
• 124 MECHANICAL VIBRATION AND MACHINE DYNAMICS
• 106 CALCULUS II (MATHEMATICS II)
• 111 DIFFERENTIAL EQUATIONS (MATHEMATICS III)
• 131 LINEAR ALGEBRA
Learning Outcomes
Should be able to analyze dynamic systems using transfer functions, in the frequency domain, and using state space models. Should be able to design feedback control systems using trasfer functions, in the frequency domain, and using state space models. Should be able to analyse and apply the basic analysis and design principles in electrical, mechanical, thermal, hydraulic and process systems.
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Make decisions
• Work autonomously
• Work in teams
• Appreciate diversity and multiculturality
• Respect natural environment
• Demonstrate social, professional and ethical commitment and sensitivity to gender issues
• Be critical and self-critical
• Advance free, creative and causative thinking
Course Content (Syllabus)
1. Introduction to control systems 2. Mathematical models Laplace transform – Transfer functions System linearization – Block diagrams Dynamic characteristics of typical systems (1st and 2nd order systems, systems with time delay, systems with inverse response) 3. State space models State space model development Solution of state space models – Transfer matrix 4. Frequency domain system analysis Bode and Nyquist diagrams 5. Feedback control systems Selection of controlled and manipulated variables Sensors and control elements Performance criteria in feedback control systems 6. Stability of dynamic systems Definition of stability – Ruth-Hurwitz Root locus of dynamic systems Stability in state space models Bode stability criterion –Nyquist stability criterion 7. PID Controller Description of controller modes PID tuning for improved dynamic performance 8. Enhancement of feedback control systems Cascade control – Feedforward control – Time delay compensation 9. Root locus control system design Control design techniques using the root locus 10. Control system design in the frequency domain Lead, lag compensators 11. Control system design in state space Controllability, observability State feedback control 12. Multi-loop feedback control systems Loop interactions – Multi-loop controller tuning
Keywords
automatic control, feedback control, transfer function, state space variables, frequency response, design of feedback control systems
Educational Material Types
• Notes
• Slide presentations
• Video lectures
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Course Teaching
• Use of ICT in Laboratory Teaching
• Use of ICT in Communication with Students
Description
Assignments 35% – Final exam 65% (a 50% success level must be achieved in the final exam paper).
Course Organization
Lectures752.5
Laboratory Work100.3
Tutorial351.2
Written assigments401.3
Exams150.5
Quiz50.2
Total1806
Student Assessment
Description
Assignments 30% – Final exam 55% - Quiz 15 % (a 50% success level must be achieved in the final exam paper).
Student Assessment methods
• Written Exam with Short Answer Questions (Formative, Summative)
• Written Assignment (Formative, Summative)
• Written Exam with Problem Solving (Formative, Summative)
• Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Εγχειρίδια: Α. Dorf R.C. και R.H. Bishop, Σύγχρονα Συστήματα Αυτόματου Ελέγχου, 11η Έκδοση, Εκδόσεις Τζιόλα, 2009. Β. Παρασκευόπουλος Π. Ν. “Συστήματα Αυτομάτου Ελέγχου – Θεωρία και Εφαρμογές”, 2007. Γ. Πετρίδης Β. “Συστήματα Αυτομάτου Ελέγχου”, Εκδόσεις Π. Ζήτη, 2001. Δ. Μαλατέστας Π. “Συστήματα Αυτομάτου Ελέγχου”, Εκδόσεις Τζιόλα, 2001.