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Control Systems

Course title: Control Systems

Code: 3ФЕИТ01Л020

Weekly number of classes: 2 + 2 + 1 + 0

Prerequisite for enrollment of the subject: None

Course Goals (acquired competencies): This course will introduce the students to the basics of control systems and their models and representation. With successful course completion, the students will be able to identify and model systems, and to analyze their features and parameters by using computer tools and software such as MATLAB. The students will also be capable of designing simple controllers for such systems, and will be able to analyze their performances.

Total available number of classes: 180

Course Syllabus: Introduction and basic concepts and definitions. Examples of control systems. Mathematical basics: differential equations, Laplace transformation, inverse Laplace transformation, transfer functions. Mathematical modeling of mechanical, electrical, and electrical-mechanical systems. Control system diagrams and characteristics: block algebra. Control system performances and design criteria: steady state error, transient state characteristics. Control system stability: algebraic stability criteria. Frequency domain analysis. State space analysis: state space and state variables, deriving the state equations from the differential equations or the transfer function model, fundamental matrix, eigenvalues and eigenvectors, matrix transfer function. Digital control systems. PID control basics.

Literature:

Required Literature

No.

Author

Title

Publisher

Year

1

Norman S. Nise

Control Systems Engineering

John Wiley & Sons, Inc.

2008

2

Richard C. Dorf, Robert H. Bishop

Modern Control Systems

Prentice Hall

2010