MECT07024 2019 Control Systems 301

General Details

Full Title
Control Systems 301
Transcript Title
Control Systems 301
Code
MECT07024
Attendance
N/A %
Subject Area
MECT - Mechatronics
Department
MENG - Mech. and Electronic Eng.
Level
07 - NFQ Level 7
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2019 - Full Academic Year 2019-20
End Term
9999 - The End of Time
Author(s)
Kevin Collins
Programme Membership
SG_EMECL_B07 201900 Bachelor of Engineering in Mechanical Engineering SG_EMTRN_B07 201900 Bachelor of Engineering in Mechatronic Engineering SG_EPLYP_J07 201900 Bachelor of Engineering in Polymer Processing (Add-on) SG_EMTRN_J07 201900 Bachelor of Engineering in Mechatronic Engineering (Add-on) SG_EMECH_J07 201900 Bachelor of Engineering in Mechatronic Engineering SG_EMECH_H08 202000 Bachelor of Engineering (Honours) in Mechanical Engineering SG_EMECH_B07 201900 Bachelor of Engineering in Mechatronic Systems SG_EELEC_H08 202000 Bachelor of Engineering (Honours) in Electronics and Self Driving Technologies SG_EMTRN_J07 202000 Bachelor of Engineering in Mechatronic Engineering SG_EROBO_H08 202000 Bachelor of Engineering (Honours) in Robotics and Automation SG_EMSYS_B07 201900 Bachelor of Engineering in Mechatronic Systems SG_EMECH_N07 202000 Certificate in Mechatronic Engineering SG_EELEC_H08 202100 Bachelor of Engineering (Honours) in Electrical Engineering and Sustainability SG_EMECH_H08 202400 Bachelor of Engineering (Honours) in Mechatronic Systems SG_EPOLP_J07 202200 Bachelor of Engineering in Polymer Process Engineering (Add-on) SG_EMECH_N07 202400 Certificate in Mechatronic Engineering SG_EMTRN_J07 202300 Bachelor of Engineering in Mechatronic Engineering (Add-on) SG_EMTRN_B07 202300 Bachelor of Engineering in Mechatronic Engineering
Description

Control Systems is all about plant and processes (systems) how they behave when subjected to certain inputs (system response) and how to get them to do what we want (system control). Control Systems 301 introduces the student to the characteristics of systems commonly encountered in mechatronics.

Learning Outcomes

On completion of this module the learner will/should be able to;

1.

Use Laplace transform techniques to predict and interpret second order system response to step and ramp inputs.

2.

Find the steady-state response of a system to a sinusoidal input by the substitution of jω for s in the transfer function.

3.

Use Laplace transform techniques to find the transient and steady-state response of a system to a sinusoidal input.

4.

Use block diagram algebra, especially Mason's theorem, to reduce elementary control system diagrams to canonical form.

5.

Establish system stability or instability by the plotting of poles and zeros on the complex plane

6.

Implement and tune control systems using a PID control strategy.

Teaching and Learning Strategies

Lectures and practicals.

Module Assessment Strategies

Final exam 60%

Practical reports 20%

Continuous assessment 20%

Repeat Assessments

.

Indicative Syllabus

Continuous Systems:

Zero and first order system response to step and ramp inputs.

Use of LabVIEW simulation software.

Block diagram algebra.

Basic mathematical models of commonly encountered industrial systems (electrical, mechanical, fluid and thermal) will be developed.

Transfer functions.

Second order system response to step and ramp inputs.

Poles, zeros and stability,

Routh-Hurwitz stability criterion.

Laplace transforms.

Stability, unity feedback and steady-state error.

MIMO systems and disturbance rejection.

Transient and steady-state frequency response. 

Indicative Practicals/Projects

Use of laboratory apparatus : inverted pendulum, mass spring damper and flow, level and temperature control with software packages (e.g. Simulink, Matlab, Labview) to investigate the following:

 First and second order system parameters.

First and second order transient and steady-state response characteristics

System stability in relation to the location of complex plane poles.

Characteristics of open and closed-loop control.

Mathematical modelling of electrical, mechanical, thermal and fluid systems.

PID strategies and implementation.

Coursework & Assessment Breakdown

Coursework & Continuous Assessment
40 %
End of Semester / Year Formal Exam
60 %

Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Online practicals with results submitted on Moodle Coursework Assessment Assignment 20 % OnGoing 1,2,3,4,5,6
2 Other Exam Supervised and unsupervised quizzes Coursework Assessment UNKNOWN 20 % OnGoing 1,2,3,4,5,6
             

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Final Exam Final Exam Closed Book Exam 60 % End of Term 1,2,3,4,5,6
             
             

Full Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Practical / Laboratory Engineering Laboratory Pratical 2 Weekly 2.00
Tutorial Flat Classroom Theory 2 Weekly 2.00
Total Full Time Average Weekly Learner Contact Time 4.00 Hours

Module Resources

Non ISBN Literary Resources

Authors

Title

Publishers

Year

W Bolton

Control Engineering

Longman

1998

Burns

Advanced Control Engineering

Butterworth Heineman

2002

Leigh

Applied Digital Control

Prentice Hall

2007

Nise

Control Systems Engineering

Wiley

2013

 

 

 

 

Journal Resources

none

URL Resources

none

Other Resources

None

Additional Information

None