MECT07025 2019 Control Systems 302

General Details

Full Title
Control Systems 302
Transcript Title
Control Systems 302
Code
MECT07025
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_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_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 302 introduces the student to analog and digital strategies for controlling these systems

Learning Outcomes

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

1.

Carry out practicals using analog control techniques on mechanical and fluid equipment.

2.

Derive the difference equations for numerical integrators and differentiators.

3.

Test for discrete system stability by location of the z-plane poles.

4.

Design digital controllers using cancellation pole placement, one-step-ahead and Kalman and Diophantine pole placement strategies.

5.

Implement simple machine learning strategies in linear regression, logistic regression and neural networks using Matlab/Octave software.

6.

Use software (e.g. LabView, Simulink) to tune PID controllers.

Teaching and Learning Strategies

.

Module Assessment Strategies

Final exam 60%

Practical reports 20%

Continuous assessment 20%

Repeat Assessments

.

Module Dependencies

Prerequisites
MECT07005 201300 Control Systems 301

Indicative Syllabus

 

Analog Systems

PID control techniques

Discrete Systems

Signal sampling and the z-transform,

Difference equations and the pulse transfer function.

Numerical integration and integration.

A/D conversion and the zero-order hold (ZOH) device.

Z-plane stability.

Discrete Control

Discretised PID control.

Controller design by cancellation pole placement (CPP).

One step ahead (OSAC) and dead-beat control strategies.

Dahlin controller design.

Diophantine pole placement controller design.

Indicative Practicals/Projects

Use of a proprietary laboratory apparatus (e.g. L.J. Technical Systems, Data Acquisition of Control Systems) and software packages (e.g. , Matlab, Labview) to investigate the following:

Controller tuning by pole-placement

Properties of the zero-order hold device

Examples of controller excursions and "ringing" poles

 Kalman and Diophantine controller design

Machine learning

Linear regression, logistic regression, neural networks.

 

 

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 Other Exam Supervised and unsupervised quizzes Coursework Assessment UNKNOWN 20 % OnGoing 2,3,4,5,6
2 Written Report of practicals 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 UNKNOWN 60 % End of Term 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

.

URL Resources

.

Other Resources

None

Additional Information

None