Modern Control Theory

Course Purpose
This lecture discusses on a way of thinking of the modern control which becomes a basis of control technologies. Furthermore, this lecture explains on a basic style of a system and an analysis way for it and explains about design method of a control system using them. Please note this lecture uses Scilab to deepen more understanding.
Learning Goals
Students should understand them as follows. (1) state equation, output equation and state-space representation (2) state feedback control (3) optimal control.
Topic
Session 1Basic concepts of feedback control, Introduction to Scilab
Session 2PID control (purpose and evaluation of feedback control system)
Session 3PID control (various PID control methods)
Session 4Structure and properties of state equations (relationship between classical control and modern control)
Session 5Structure and properties of the equation of state (controllability and observability)
Session 6State feedback and observers (state feedback control)
Sesson 7State feedback and observer (arbitrary pole placement with state feedback)
Session 8State feedback and observers (state observers)
Session 9Optimal control (optimal regulator)
Session 10Optimal control (optimal servo system)
Session 11Digital control (fundamentals of digital control, sampler and hold)
Session 12Digital control (discretization of continuous-time controllers, discretization of continuous-time state equations)
session 13Digital control (z-transform and properties of discrete time meters)
Session 14General practice
＊＊This content is based on April 1, 2024. For the latest syllabus information and details, please check the syllabus information inquiry page provided by the university.＊＊