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Module Specifications

Archived Version 2011 - 2012

Module Title Systems
Module Code EE207
School School of Electronic Engineering

Online Module Resources

NFQ level 8 Credit Rating 5
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Description

INACTIVE - To provide the student with an understanding of the modelling and analysis of Linear Time-Invariant (LTI) systems, using state-space and transfer function descriptions.

Learning Outcomes

1. Derive mathematical models for lumped continuous electrical, mechanical, and electromechanical systems, and discrete-time population and sampled data systems.
2. Determine the linearity or otherwise of a system and be able to linearise non-linear continuous and discrete state equations using Taylor series expansion.
3. Transform models between state equation and input/output forms.
4. Simulate lumped dynamical systems using SIMULINK.
5. Solve continuous and discrete-time state space equations using a number of techniques.
6. Evaluate the response of a system from the transfer function.
7. Determine the stability of linear dynamical systems from knowledge of the eigenvalues or poles of a system.
8. Design a state feedback control system using elementary eigenvalue placement techniques.
9. Realise models in a number of state space forms.



Workload Full-time hours per semester
Type Hours Description
Lecture24One way presentation of new material
Tutorial12Instructor led problem solving session
Laboratory15This is a modelling and simulation assignment that involves each student learning how to model and simulate a dynamical system that has relevance to their particular programme
Total Workload: 51

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Introduction to LTI Analysis
Systems review. Assumptions made in LTI analysis.Modelling Examples: Derivation of state-space models for simple linear continuous and discrete time systems (e.g. electrical/ mechanical systems and population models).Linearisation: Determination of linearised state-space models from non-linear models( assumptions made, continuous-time and discrete-time, examples).Solution of State Equations: Continuous-time, discrete-time, conversion from continuous-time to discrete-time using ZOH equivalent, digital simulation.Stability Analysis: Continuous-time, discrete-time.System Transformations: State-space to transfer function; transfer function to state space; different realisations.Frequency Response: Frequency response from transfer function.

Assessment Breakdown
Continuous Assessment20% Examination Weight80%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Reassessment Requirement
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
Unavailable
Indicative Reading List

  • Norman S Nise: 2008, Control Systems Engineering, 5th Edition, All, Wiley, USA, 978-0-470-16997-1
Other Resources

None
Programme or List of Programmes
ECEBEng Electronic & Computer Engineering
ECSAOStudy Abroad (Engineering & Computing)
MEB.Eng. in Mechatronic Engineering
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