SYSTEMS MODELLING

EMS2SYM

2019

Credit points: 15

Subject outline

This subject provides an introduction to modelling and simulation of multi-domain engineering systems. Students develop modelling skills using software tools, such as MATLAB and Simulink, which are then used to model and investigate engineering systems related to a broad range of real-world engineering systems.Topics include: system identification, estimation, state-space models and properties of systems in time and frequency domains. Application examples may include electro-mechanical mechanisms and systems, fluid and thermal systems, chemical processes, and wave transmission.

Engineers Australia Stage 1 competencies covered in this subject are: 1.1, 1.2, 2.1, 2.2, 2.3 (see intended learning outcomes for details). 

SchoolSchool Engineering&Mathematical Sciences

Credit points15

Subject Co-ordinatorTommy Huynh

Available to Study Abroad StudentsYes

Subject year levelYear Level 2 - UG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites (EMS1MS or CIV2MS) and MAT1CDE

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsSystem Dynamics: Modelling, Simulation, and Control of Mechatronic SystemsPrescribedKarnopp D., Margolis D., Rosenberg RWiley 2012

Graduate capabilities & intended learning outcomes

01. Create Matlab or Simulink models to represent, analyse and solve problems related to real world physical systems. Includes EA stage 1 competencies: 1.2 Procedural-level understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the practice area. 2.1 Application of established technical and practical methods to the solution of well defined engineering problems. 2.2 Application of technical and practical techniques, tools and resources to well defined engineering problems.

Activities:
Lectures demonstrate modelling software which is practiced in laboratories and assignments.

02. Perform estimation and system identification to create mathematical models of physical systems. Includes EA stage 1 competencies: 1.1 Descriptive, formula-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the practice area. 1.2 Procedural-level understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the practice area. 2.1 Application of established technical and practical methods to the solution of well defined engineering problems. 2.3 Application of systematic synthesis and design processes to well defined engineering problems.

Activities:
A series of worked examples show system estimation techniques which are followed up in assignments and laboratories.

03. Use Bond Graphs and Bode Plots to mathematically model physical systems across electrical, mechanical and hydraulic domains. Includes EA stage 1 competencies: 2.1 Application of established technical and practical methods to the solution of well defined engineering problems. 2.2 Application of technical and practical techniques, tools and resources to well defined engineering problems. 2.3 Application of systematic synthesis and design processes to well defined engineering problems.

Activities:
Bond graph and Bode plot techniques are demonstrated in lectures for each domain and are applied in labs and assignments.

04. Generate state-space equations for a system from the Bond Graph model. Includes EA stage 1 competencies: 1.1 Descriptive, formula-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the practice area. 2.2 Application of technical and practical techniques, tools and resources to well defined engineering problems. 2.3 Application of systematic synthesis and design processes to well defined engineering problems.

Activities:
State-Space equation generation is demonstrated in lectures and then used in assignments and laboratories for analysis across different domains.

05. Describe concepts related to steady-state and non-steady state systems across a variety of different physical domains. Includes EA stage 1 competencies: 1.1 Descriptive, formula-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the practice area. 1.2 Procedural-level understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the practice area. 2.2 Application of technical and practical techniques, tools and resources to well defined engineering problems.

Activities:
Examples of steady-state and non-steady state examples are described in lectures across different physical domains. This behaviour is further investigated in laboratories.

Subject options

Select to view your study options…

Start date between: and    Key dates

Bendigo, 2019, Semester 2, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorTommy Huynh

Class requirements

Lecture Week: 31 - 43
Two 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via blended.
"Lectures will be a series of on-line video segments followed up by skill-check quizzes "

Laboratory Class Week: 32 - 43
One 2.0 hours laboratory class every two weeks on weekdays during the day from week 32 to week 43 and delivered via face-to-face.
"Laboratory experiments using computers and simulation packages"

Tutorial Week: 32 - 43
One 1.0 hours tutorial per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.
"Problem solving tutorial class"

Assessments

Assessment elementComments% ILO*
2 hour written exam (2000 words equivalent)40 02, 03, 04, 05
2 Online Assignments (supervised in the lab class) (500 word each)Weeks 5 and 11 1000 equivalent total30 02, 03, 04, 05
Lab work: 8 short online reports (125 words equivalent each)Laboratory Work, Assessed by eight short online reports each submitted at the end of the class. Weekly - weeks 2-4 & 6-10 1000 equivalent total20 01, 02, 04, 05
2 Short Written Assignments (250 words each)Week 3, 9 500 word equivalent total10 01, 02, 03, 04, 05

Melbourne, 2019, Semester 2, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorTommy Huynh

Class requirements

Lecture Week: 31 - 43
Two 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via blended.
"Lectures will be a series of on-line video segments followed up by skill-check quizzes "

Laboratory Class Week: 32 - 43
One 2.0 hours laboratory class every two weeks on weekdays during the day from week 32 to week 43 and delivered via face-to-face.
"Laboratory experiments using computers and simulation packages"

Tutorial Week: 32 - 43
One 1.0 hours tutorial per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.
"Problem solving tutorial class"

Assessments

Assessment elementComments% ILO*
2 hour written exam (2000 words equivalent)40 02, 03, 04, 05
2 Online Assignments (supervised in the lab class) (500 word each)Weeks 5 and 11 1000 equivalent total30 02, 03, 04, 05
Lab work: 8 short online reports (125 words equivalent each)Laboratory Work, Assessed by eight short online reports each submitted at the end of the class. Weekly - weeks 2-4 & 6-10 1000 equivalent total20 01, 02, 04, 05
2 Short Written Assignments (250 words each)Week 3, 9 500 word equivalent total10 01, 02, 03, 04, 05