esd2527 - embedded control systems engineering module information msrsas ms ramaiah pg in embedded...

Ver: 4 November 2011 MI-ESD2527 Page 1 of 5

Module Information Module Title Embedded Control Systems Engineering Module Code ESD2527

1. MODULE SUMMARY

Aims and Summary

This module is intended to prepare students to design controllers for controlling the dynamic behaviour of automotive systems. In this module, students will be introduced to control systems engineering terminology and learn modelling of physical systems. Students are taught to carry out time response, frequency response and stability analysis of mathematical models of systems and design of controllers through classical control theory and state variable theory approaches. In addition, students will be taught non linear control theory and digital control systems. Students will be trained on the use of MATLAB/Simulink software tools for control systems simulation and functional demonstration of simple control systems.

Module Size and Credits

Module size Single

CATS points 10

ECTS credits N/A

Open / restricted Restricted

Availability on/off campus On Campus/Off campus

Total student study hours 100

Number of weeks 5 weeks Full-time or 8 weeks Part-time.

Department responsible Electronics and Electrical Engineering

Academic Year 2012

Entry Requirements (pre-requisites and co-requisites)

Normally to be qualified for entry to the Postgraduate Engineering Programme

Excluded Combinations

None

Composition of Module Mark (including weighting of components)

Full-time / Part-time : 50% Written Examination and 50 % Assignment

Pass Requirements

Special Features

80% attendance in theory and 80% attendance in laboratory are required. It is likely that considerable time will be spent in School facilities outside of normal timetabled class time.

Courses for which this module is mandatory

M.Sc. [Engg] in Real Time Embedded Systems

Courses for which this module is a core option

M.Sc. [Engg] in Technology and Engineering Management

A minimum of 40 % marks in the written examination and a minimum of 40% marks in the assignment and overall 40% marks are required for a pass


2. TEACHING, LEARNING AND ASSESSMENT

Intended Module Learning Outcomes

After undergoing this module, students will be able to: 1. Develop mathematical models for embedded control systems 2. Analyse time response, frequency response and stability analysis of control systems 3. Design and analyse controllers and compensators for analog and sampled data control systems 4. Proficiently use Matlab/Simulink for design, simulation and analysis of analog and sampled data

control systems

Indicative Content

Class Room Lectures

1. Introduction to Automotive Control Systems: Introduction to Control Systems and their classification, Control system applications for embedded applications

2. Mathematical Modelling of Physical Systems: Modelling using transfer function approach. Block Diagrams & Signal Flow Graphs. Case Study on modelling of embedded control systems

3. Time domain analysis: First Order, second Order, higher order control system response for typical inputs like Step, Ramp and Impulse inputs, Time response specifications. Error Analysis - Type number, Characteristic Equation, Poles and Zeroes concept, Error Analysis and performance criterion. Controllers and their characteristics. Use of Matlab/Simulink tools for solving mathematical models for time response of analysis

4. Stability analysis: Routh-Hurwitz stability criteria

5. Root Locus Method: Root locus plots, determination of time response specification, determining Root-locus using MATLAb/Simulink

6. Frequency response analysis: Polar Plot, Nyquist Plot and Bode Plots, stability and relative stability analysis, MATLAB/Simulink based frequency response analysis

7. Compensation Techniques: Types of compensators and compensator design

8. State Space Analysis of Control Systems: State variables, State Space representation, State Models, Solution of time invariant state equations, State-space methods for control system design

9. Introduction to Non linear control Systems: Introduction, describing functions, describing function analysis of non linear control systems, phase plane plots, singular points, phase plane analysis of linear and non linear controls systems

10. Sampled Data Control Systems: Introduction, z-transformation, solving difference equations by the z-transform method, inverse z-transformation, pulse transfer function, stability analysis in the z-plane. Analysis and synthesis of sampled-data control systems using classical and modern (state-space) methods; analysis of trade-offs in control algorithms for computation speed and quantization effects. Design and Simulation using MATLAB/Simulink

Laboratory Practice

www.engin.umich.edu/group/ctm

Examples Cruise

Control Motor Speed

Motor Position

Bus suspension

Inverted Pendulum

Pitch Controller

Ball and Beam

Modelling

PID


Root Locus

Frequency Response

State space

Digital Control

Teaching and Learning Methods

1. Theoretical Knowledge a. Face to face lectures

30 hours

2. Laboratory Practice (Skills)

30 hours

3. Application Orientation and Problem Solving a. Reading b. Research c. Written Examination d. Assignment Solving and Documentation

40 hours

Method of Assessment

Part-A

Examination [50% Weightage]

1. Viva/Presentation on a specified topic............................................... (15%)

2. Student performance on classroom tests............................................. (15%)

3. Written examination............................................................................ (20%)

The marks scored by the student will be scale down to 50% weight.

Part B

Assignment [50% Weightage]

Students are required to submit a word processed assignment report.

Assessment

Learning Outcomes 1 2 3 4

Part A X X X X

Part B X X X X

Both written examination scripts and assignment reports will be double marked.

Re-assessment


A minimum of 40 % marks in the written examination and a minimum of 40% marks in the assignment are required for a pass in the module. A student failing in any one of the components or both is considered as FAIL in the module. A failed student is required to retake the module at the next opportunity. A maximum of 3 attempts including the original are allowed.

Date of Last Amendment

November 2011

3. MODULE RESOURCES

Essential Reading

Module Notes

Recommended Reading

Books

1. Benjamin C. Kuo. (2003) Automatic Control Systems,7th Edition, Prentice Hall.

2. Uwe Kiencke and Lars Nielsen. (2000) Automotive Control Systems: For Engine, Driveline, and

Vehicle, Springer, Verlag.

Journals

The open Automation and Control System Journal

Journal of Dynamical and Control Systems

Magazines

Internet Sites

www.engin.umich.edu/group/ctm (accessed on 18th January 2012)

Laboratory

Hardware: PCs

Software: MATLAB/Simulink

Software Manual: MATLAB/Simulink

Automotive Control Systems-Lab kits

4. MODULE ORGANISATION

Module Leader

Name Vishwanath K.

Room B-402

Telephone number +91-80-4906-5555 extn. 2318

E-mail [email protected]


Date and Time of Examination

As per time table

Subject Quality and Approval Information

Subject Quality Group / Subject Board Computer Engineering

Subject Assessment Board Postgraduate Engineering and Management Programmes

Shortened title ECS

Date of approval by MARP Nov 2011

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