MECT08013 2019 Control Systems Analysis and Design 402
Full Title
Control Systems Analysis and Design 402
Transcript Title
Control Systems Analysis and D
Code
MECT08013
Attendance
N/A %
Subject Area
MECT - 0719 Mechatronics
Department
MECT - Mechatronics
Level
08 - Level 8
Credit
05 - 05 Credits
Duration
Semester
Fee
€
Start Term
2019 - Full Academic Year 2019-20
End Term
9999 - The End of Time
Author(s)
Marion McAfee
Programme Membership
SG_EMTRN_K08 201900 Bachelor of Engineering (Honours) in Mechatronic Engineering
SG_EMTOL_K08 202400 Bachelor of Engineering (Honours) in Mechatronic Engineering
SG_EROBO_H08 202000 Bachelor of Engineering (Honours) in Robotics and Automation
SG_EMECS_H08 202400 Bachelor of Engineering (Honours) in Mechatronic Systems
SG_EMECH_K08 202200 Bachelor of Engineering (Honours) in Mechatronic Engineering
SG_EMECI_K08 202300 Bachelor of Engineering (Honours) in Mechatronic Engineering
SG_EROBO_H08 202400 Bachelor of Engineering (Honours) in Robotics and Automation
SG_EROBO_H08 202500 Bachelor of Engineering (Honours) in Robotics and Automation
Description
Control Systems Engineering 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 Analysis and Design 402 introduces the student to the state-space method of modelling and controlling multiple input and output systems.
Learning Outcomes
On completion of this module the learner will/should be able to;
1.
Derive in matrix form, the set of state equations for a multiple-input-multiple-output (MIMO) system (simple mechanical (linear and torsional), electrical and electro-mechanical systems)
2.
Use matrix methods to determine whether a system is controllable and/or observable.
3.
Design State Variable Feedback regulators for MIMO systems
4.
Design tracking system controllers in state-space
5.
Design full order state observers for state-space systems
6.
Use Computer Aided Analysis and Design software in the simulation, analysis and design of state-space models and controllers
7.
Write a professional report on the process of modelling, analysis and control system design applied to practical project work.
Teaching and Learning Strategies
Lectures on background theory with applied examples of implementing the various analysis and design strategies. Students must reflect on theory in completion of regular quiz‑type assessments/tutorial sheets.
Practical laboratory sessions where students use computer aided analysis and design software in the modelling, simulation and analysis of state-space systems and design of state-variable feedback controllers ‑ both on simulations and real physical plant. Students must complete a professional write up of the analysis/design process with critical evaluation of the results.
Module Assessment Strategies
Final exam 60%
Practical projects & reports 30% (MUST PASS)
Other continuous assessment 10%
Repeat Assessments
-
Indicative Syllabus
State Space methods
- State-space modelling
- Uncoupling state equations.
- Controllability and observability.
- Design of regulator control systems by Pole placement with State Variable Feedback
- Design of tracking control systems with SVF and integral control
- Design of full-order observers for state estimation
Indicative Practicals/Projects
Modelling/Analysis/Control of e.g.:
- D.C. motor systems
- Process Plant
- Car cruise control
- Inverted Pendulum
- Satellite tracking
- DVD head positioning
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 | Assessment | 10 % | OnGoing | 1,2,3,4,5,6 |
| 2 | Written Report of practical modelling/control design projects | Coursework Assessment | Written Report/Essay | 30 % | OnGoing | 1,2,3,4,5,6,7 |
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 |
Full Time Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Practical / Laboratory | Engineering Laboratory | Practical | 2 | Weekly | 2.00 |
| Lecture | Flat Classroom | Theory | 2 | Weekly | 2.00 |
Total Full Time Average Weekly Learner Contact Time 4.00 Hours
Required & Recommended Book List
Recommended Reading
2016-12-14 Modern Control Systems, Global Edition Pearson
ISBN 1292152974 ISBN-13 9781292152974
2016-12-14 Modern Control Systems, Global Edition Pearson
ISBN 1292152974 ISBN-13 9781292152974
For courses in Control Theory Developing Problem-Solving Skills Through Integrated Design and Analysis The purpose of Dorf's Modern Control Systems, Thirteenth Edition is to present the structure of feedback control theory and to provide a sequence of exciting discoveries. The book demonstrates various real-world, global engineering problems while touching on evolving design strategies like green technology. Some of the themes at-hand include climate change, clean water, sustainability, waste management, emissions reduction, and minimizing energy. Throughout the text, students apply theory to the design and analysis of control systems. The Thirteenth Edition continues to explore the role of and need for automated and precise control systems in green engineering. Key examples of green engineering, such as wind turbine control and the modeling of a photovoltaic generator to achieve maximum power delivery, are discussed in detail. The text is organized around the concept of control systems theory in the context of frequency and time domains. Written to be equally useful for all engineering disciplines, it covers topics such as classical control, employing root locus design, frequency and response design using Bode and Nyquist plots.
Module Resources
Non ISBN Literary Resources
|
Authors |
Title |
Publishers |
Year |
|
|
|||
|
Dorf and Bishop |
Modern Control Systems | Pearson | 2016 |
|
Nise |
Control Systems Engineering |
Wiley |
2013 |
|
Ogata |
Modern Control Engineering |
Pearson |
2010 |
URL Resources
Control Tutorials for MATLAB and SIMULINK:
http://ctms.engin.umich.edu/CTMS/index.php?aux=Home
Other Resources
None
Additional Information
None