Control Systems IΙ
General
- Code: 65.01
- Semester: Optional F1-F2 6th
- Study Level: Undergraduate
- Course type: Optional
- Teaching and exams language: Ελληνικά
- The course is offered to Erasmus students
- Teaching Methods (Hours/Week): Theory (2) / Exercises (1)
- ECTS Units: 4
- Course homepage: https://exams-sm.the.ihu.gr/enrol/index.php?id=114
- Instructors: Papadopoulou Simira
Course Contents
Multivariable systems, state-space equations, mathematical representation in state space of various physical systems and examples. General solution of state equations, eigenvalues and eigenvectors, stability in the state space, transfer functions/tables derivation, transformations between different forms. Similarity transformations, canonical forms of state equations and corresponding block diagrams, state space trajectories. Controllability and
observability, introduction to observers. Exercises and applications in MATLAB.
Educational Goals
The course provides an introduction to the state space systems theory which is the basis for understanding the analysis and design techniques used in the modern theory of automatic control systems. The course focuses on a thorough understanding of the basic of state space concepts so that it is possible to analyse the behaviour of a control system from a mathematical and physical point of view, using the most complete mathematical model of internal state equations. The consolidation of the course material creates the basic background and is a prerequisite for the understanding of related courses that follow in the curriculum, such as Control Systems III, Process Control and Digital Control Systems.
Consistent and successful attendance of the course has as expected result to make the student competent:
– to understand the mathematical representation and analysis of multivariable control systems in the state space;
– analyse stability and time response by solving state equations;
– to attend more specialized courses of modern theory of automatic control systems;
– to recognize and use MATLAB software and its tools with ease.
General Skills
Research, analysis and synthesis of data and information using corresponding technologies, decision making, adaptation to new situations, promoting free, creative and inductive thinking, independent work, teamwork.
Teaching Methods
Lectures, Exercises, Online guidance, Projected Presentations, E-mail communication, Online Synchronous and Asynchronous Teaching Platform (moodle).
Students Evaluation
Assessment Language: English / Greek
The final grade of the course is formed by 100% by the grade of the theoretical part.
The grade of the theoretical part is based on a written final examination.
The written final examination of the theoretical part may include:
Solving problems of application of the acquired knowledge, Short answer questions etc
Recommended Bibliography
Control Systems Engineering , Norman Nise
Modern Control Systems, Dorf & Bishop
Feedback Control of Dynamic Systems , Franklin & Powell
Modern Control Engineering, Ogata
Analog and Digital Control System Design: Transfer-Function, State-Space, and Algebraic Methods , C.T. Chen
Automatic Control Systems, Kuo
Design of Feedback Control Systems, Stefani, Bahram Shahian, Clement J. Savant