디지털제어시스템

경북대학교
칼리아나 차크라바르띠 벨루볼루(Kalyana Chakravarthy Veluvolu).

페이스북 트위터 카카오톡 네이버밴드 링크복사

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공학 >전기ㆍ전자 >전자공학
강의학기

2019년 1학기

조회수

6,567

강의계획서

Digital Control System entails replacing continuous control system with discrete control system.

차시별 강의

1.	1강 Introduction To Digital Control System	Introduction To Digital Control System
	1강 Introduction To Digital Control System	Introduction To Digital Control System
2.	2강 Basic Concept of Digital control system	Basic Concepts of Digital control system and Linear time-Invariant systems.
	2강 Basic Concept of Digital control system	Basic Concepts of Digital control system and Linear time-Invariant systems.
3.	3강 Numerical Approximation Techniques	Numerical Approximation Techniques. Sampling and Reconstruction of Signals. Z-Transform
	3강 Numerical Approximation Techniques	Numerical Approximation Techniques. Sampling and Reconstruction of Signals. Z-Transform
4.	4강 Z-Transform	Z-Transform Properties of Z-Transform Inverse Z-Transform
	4강 Z-Transform	Z-Transform Properties of Z-Transform Inverse Z-Transform
5.	5강 Mapping Between s and Z planes	Mapping between S and Z planes. First Backward difference Method Bilinear (Tustin) Transformation.
	5강 Mapping Between s and Z planes	Mapping between S and Z planes. First Backward difference Method Bilinear (Tustin) Transformation.
6.	6강 Analysis Techniques	Transfer Functions of Sampled-Data Systems. Zero-Order Hold Function. Stability Test.
	6강 Analysis Techniques	Transfer Functions of Sampled-Data Systems. Zero-Order Hold Function. Stability Test.
7.	7강 Analysis techniques and Feedback Control Design	Steady state error, Root-Locus Techniques, s-,z-, and w-planes time responses, Frequency response, Feedback Control design in s- and z-planes
	7강 Analysis techniques and Feedback Control Design	Steady state error, Root-Locus Techniques, s-,z-, and w-planes time responses, Frequency response, Feedback Control design in s- and z-planes
8.	8강 Design Techniques	Digital Feedback Design: s-plane Method, z-plane Method and w-plane Method. Lead-Lag Compensation
	8강 Design Techniques	Digital Feedback Design: s-plane Method, z-plane Method and w-plane Method. Lead-Lag Compensation
9.	9강 Introduction to state space design methods	Definition and objectives, Typical specifications, Design approaches, advantages, motivations, Scalar and matrix differential equation.
	9강 Introduction to state space design methods	Definition and objectives, Typical specifications, Design approaches, advantages, motivations, Scalar and matrix differential equation.
10.	10강 State Space Design Methods	Application of State Space Design Methods, State Space Modelling, Transfer Function from State Space Model, Solution of the State Vector, Discrete-Time Poles and Zeros and The State Transition Equation.
	10강 State Space Design Methods	Application of State Space Design Methods, State Space Modelling, Transfer Function from State Space Model, Solution of the State Vector, Discrete-Time Poles and Zeros and The State Transition Equation.
11.	11강 State Space Design Methods2	Similarity Transformation' Controllable canonical Form(CCF), Observable Canonical Form(OCF), Controller Design, Controllability, Testing for System's Controllability.
	11강 State Space Design Methods2	Similarity Transformation' Controllable canonical Form(CCF), Observable Canonical Form(OCF), Controller Design, Controllability, Testing for System's Controllability.
12.	12강 State Space Design method 2(Observability)	Definition of observability and its relevance in designing controller, Observability Matrix, Relationship between controllability, observability and transfer functions, Pole placement by state feedback, Ackermann's formula, Deadbeat control.
	12강 State Space Design method 2(Observability)	Definition of observability and its relevance in designing controller, Observability Matrix, Relationship between controllability, observability and transfer functions, Pole placement by state feedback, Ackermann's formula, Deadbeat control.
13.	13강 State Space Design 3 (Observer design)	Observer design; Motivations and problem formulations, Prediction Observers and Current Observers, Reduced Order observers: Motivation and concept formulation, Current Observer: Accuracy and applications.
	13강 State Space Design 3 (Observer design)	Observer design; Motivations and problem formulations, Prediction Observers and Current Observers, Reduced Order observers: Motivation and concept formulation, Current Observer: Accuracy and applications.
14.	14강 State Space Design(4) Combined Control Law and Observer	Current Observer Separation Principle Combined Control Law and Observer Guidelines for choosing Controller and Observer Characteristic Equations Integral control. Introduction to Optimal control.
	14강 State Space Design(4) Combined Control Law and Observer	Current Observer Separation Principle Combined Control Law and Observer Guidelines for choosing Controller and Observer Characteristic Equations Integral control. Introduction to Optimal control.
15.	15강 Optimal Control	Design Approaches Dynamic programming Examples on performance indices Bellman's principle of optimality Principle of optimality to discrete time linear systems Discrete-time linear quadratic regulator via dynamic programming Solution to Discrete Riccati Difference Equation.
	15강 Optimal Control	Design Approaches Dynamic programming Examples on performance indices Bellman's principle of optimality Principle of optimality to discrete time linear systems Discrete-time linear quadratic regulator via dynamic programming Solution to Discrete Riccati Difference Equation.