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SYSTEMS MODELLING

EMS2SYM

2020

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).

School: Engineering and Mathematical Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: Tommy Huynh

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 2 - UG

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: MAT1CDE AND (CIV2MS OR EMS1MS)

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

System Dynamics: Modelling, Simulation, and Control of Mechatronic Systems

Resource Type: Book

Resource Requirement: Prescribed

Author: Karnopp D., Margolis D., Rosenberg R

Year: 2012

Edition/Volume: N/A

Publisher: Wiley

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

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.
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.
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.
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.
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.

Bendigo, 2020, Semester 2, Blended

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Tommy Huynh

Class requirements

Laboratory ClassWeek: 32 - 43
One 2.00 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

LectureWeek: 31 - 43
Two 1.00 hour 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

TutorialWeek: 32 - 43
One 1.00 hour 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 elementCommentsCategoryContributionHurdle%ILO*

2 hour written exam (2000 words equivalent)

N/AN/AN/ANo40SILO2, SILO3, SILO4, SILO5

2 Online Assignments (supervised in the lab class) (500 word each)Weeks 5 and 11 1000 equivalent total

N/AN/AN/ANo30SILO2, SILO3, SILO4, SILO5

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

N/AN/AN/ANo20SILO1, SILO2, SILO4, SILO5

2 Short Written Assignments (250 words each)Week 3, 9 500 word equivalent total

N/AN/AN/ANo10SILO1, SILO2, SILO3, SILO4, SILO5

Melbourne (Bundoora), 2020, Semester 2, Blended

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Tommy Huynh

Class requirements

Laboratory ClassWeek: 32 - 43
One 2.00 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

LectureWeek: 31 - 43
Two 1.00 hour 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

TutorialWeek: 32 - 43
One 1.00 hour 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 elementCommentsCategoryContributionHurdle%ILO*

2 hour written exam (2000 words equivalent)

N/AN/AN/ANo40SILO2, SILO3, SILO4, SILO5

2 Online Assignments (supervised in the lab class) (500 word each)Weeks 5 and 11 1000 equivalent total

N/AN/AN/ANo30SILO2, SILO3, SILO4, SILO5

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

N/AN/AN/ANo20SILO1, SILO2, SILO4, SILO5

2 Short Written Assignments (250 words each)Week 3, 9 500 word equivalent total

N/AN/AN/ANo10SILO1, SILO2, SILO3, SILO4, SILO5