MECT08002 2016 Control Systems Analysis and Design 401

General Details

Full Title
Control Systems Analysis and Design 401
Transcript Title
CS Analysis and Design 401
N/A %
Subject Area
MECT - Mechatronics
MENG - Mech. and Electronic Eng.
08 - NFQ Level 8
05 - 05 Credits
Start Term
2016 - Full Academic Year 2016-17
End Term
9999 - The End of Time
Kevin Collins, Marion McAfee

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 401 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;


Write a laboratory report with relevant diagrams, screen shots, maths derivations and commentary demonstrating an understanding of the relationship between the practical experiment and the underlying theory.


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)


Transform Laplace Transform models to State-Space form and vice versa


Use matrix methods to determine whether a system is controllable and/or observable.


Develop different forms of state-space model (e.g. Diagonal, Control Canonical, Observer Canonical) and evaluate the suitablity of each form for particular analysis and design tasks


USe Computer Aided Analysis and Design software in the simulation, analysis and design of state-space models and controllers

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%

Other continuous assessment 10%

Repeat Assessments


Indicative Syllabus

Continuous and digital mathematical models of commonly encountered Linear Time-Invariant (LTI) industrial systems (electrical, mechanical, fluid and thermal) will be developed.

State Space methods

  • State-space modelling
  • Uncoupling state equations.
  • Controllability and observability.
  • Converting from Laplace Transform to State-Space form and vice-versa
  • Block diagrams of state-space models
  • Design of regulator control systems by Pole placement with State Variable Feedback

Indicative Practicals/Projects

Modelling/Analysis/Control of e.g.:

  • D.C. motor
  • Process PLant
  • Car cruise control
  • Inverted Pendulum
  • Satellite tracking
  • DVD head positioning
  • Flatness control for metal rolling.
  • Level control for pumped storage.

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 Continuous Assessment Assessment 10 % OnGoing 2,3,4,5,6
2 Written Report of practical modelling/control design projects Continuous Assessment Written Report 30 % 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 2,3,4,5

Full Time Mode Workload

Type Location Description Hours Frequency Avg Workload
Laboratory Practical 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

Module Resources

Non ISBN Literary Resources







Dorf and Bishop

Modern Control Systems Pearson 2011


Control Systems Engineering




Modern Control Engineering



URL Resources

Control Tutorials for MATLAB and SIMULINK:

Other Resources


Additional Information