Module Catalogues, Xi'an Jiaotong-Liverpool University   
 
Module Code: EEE327
Module Title: Digital Control and Automatic Control
Module Level: Level 3
Module Credits: 2.50
Academic Year: 2017/18
Semester: SEM1
Originating Department: Electrical and Electronic Engineering
Pre-requisites: N/A
   
Aims
- To introduce the students to the fundamentals of applied digital control

- To familiarize the students with the use of simulation tools like matlab and simulink

- To familiarize the students with digital control design techniques through realistic control examples and application: satellite attitude control; Magnetic suspension system; validation of results through extensive linear and non-linear simulation.

- To equip students the knowledge of analysis and design of automatic control systems

Learning outcomes 
Knowledge and Understanding

After completion of the module, the students should have:

- A better understanding of linear systems

- A greater ability to develop system models and to use them to design feedback control laws in order to enhance system performance

- A reasonably good understanding of how controlling continuous systems via digital controllers

- Views on typical computer controlled system architectures

Intellectual Abilities

On successful completion of the module, students should be able to demonstrate ability in applying knowledge of the above topics to:

- Assessing performance of a digital feedback control system

- Designing modules and controllers

- Implementing a digital controller in a computer.

Practical Skills

After completion of the module, the students should have:

- An appreciation of the use of the state-space methods for control system analysis and modelling

- An appreciation of how computer-aided design and simulation tools operate

- An appreciation of how digital controllers can be checked for satisfactory behavior and stability

General Transferable Skills

On successful completion of the module, students should be able to show experience and enhancement of the following key skills:

- Independent learning

- Problem sloving and design skills

Method of teaching and learning 
This module will be delivered through a combination of formal lectures and problem classes.
Syllabus 
1. Introduction

2. Sampling, aliasing and reconstruction

3.Discretization of control plants

4.controller design by approximations

5.Direct digital design

6.State-space methods

7.State feedback

8.Estimator/observer design

9.A design example


Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 16     5  2    52  75 

Assessment

Sequence Method % of Final Mark
1 Formal Exam 70.00
2 Midterm Test 10.00
3 Assessment 1 10.00
4 Assessment 2 10.00

Module Catalogue generated from SITS CUT-OFF: 10/22/2017 9:32:09 PM