ems2sym systems modelling
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
Learning resources
Readings
Resource Type | Title | Resource Requirement | Author and Year | Publisher |
---|---|---|---|---|
Readings | System Dynamics: Modelling, Simulation, and Control of Mechatronic Systems | Prescribed | Karnopp D., Margolis D., Rosenberg R | Wiley 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…
Bendigo, 2019, Semester 2, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorTommy Huynh
Class requirements
LectureWeek: 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 ClassWeek: 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"
TutorialWeek: 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 element | Comments | % | 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 total | 30 | 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 total | 20 | 01, 02, 04, 05 |
2 Short Written Assignments (250 words each) | Week 3, 9 500 word equivalent total | 10 | 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
LectureWeek: 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 ClassWeek: 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"
TutorialWeek: 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 element | Comments | % | 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 total | 30 | 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 total | 20 | 01, 02, 04, 05 |
2 Short Written Assignments (250 words each) | Week 3, 9 500 word equivalent total | 10 | 01, 02, 03, 04, 05 |