System dynamics is the study of the response of engineering systems with changing time. The concepts learned in this unit can be used in a number of engineering disciplines including mechatronics, and in particular robotics, mechanical, electrical, aerospace and marine engineering, manufacturing and biomedical engineering. The emphasis of this course will be on the analytical and numerical tools of multi-particle systems, rigid body dynamics, electromechanical systems, and complex network dynamics. The topics covered include direct (Newton-Euler) and indirect (Euler-Lagrange) methods for modelling and analysing kinematics and dynamics problems from various examples using differential equations, numerical approximation of linear or nonlinear dynamical equations, and graphical representation and analysis of complex network dynamics.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
On successful completion of this course, students should have the skills and knowledge to:- Establish systematic understanding of system dynamics problems from various engineering domains.
- Solve multi-particle and rigid body dynamics problems using the Newton-Euler approach.
- Derive the equations of motion of mechanical, electrical and simple electromechanical systems using the Euler-Lagrange approach.
- Apply dynamic response analysis of mechanical or electrical oscillators to perform basic system identification.
- Analyse the properties of linear or nonlinear dynamic equations through computer simulation and make design recommendations based on dynamics simulation data.
- Model and analyse complex network dynamics based on graphical representation and numerical simulations.
Professional Skills Mapping
Mapping
of Learning Outcomes to Assessment and Professional Competencies
Indicative Assessment
- Problem Sets (28%)
- Hardware Lab (7%)
- Computer Lab (5%)
- Project Report (10%)
- Project Presentation (10%)
- Exam (40%)
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
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Workload
36 × 1 hr Lectures, 2 × 3 hr Labs, 6 × 2 hr TutorialsRequisite and Incompatibility
Assumed Knowledge
Mathematics including differential equations, complex numbers and Laplace transforms, matrices, Physics including classical mechanics and electrical circuits.Fees
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- 2
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2020 | $4320 |
- International fee paying students
| Year | Fee |
|---|---|
| 2020 | $5760 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 3327 | 24 Feb 2020 | 02 Mar 2020 | 08 May 2020 | 05 Jun 2020 | In Person | N/A |
