- Code ENGN6331
- Unit Value 6 units
- Offered by RS Electrical, Energy and Materials Engineering
- ANU College ANU College of Engineering and Computer Science
- Course subject Engineering
- Areas of interest Engineering
- Academic career PGRD
- Dr Igor Vladimirov
- Mode of delivery In Person
- Co-taught Course
First Semester 2019
See Future Offerings
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.
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
- Problem Sets (28%)
- Hardware Lab (7%)
- Computer Lab (5%)
- Project Report (10%)
- Project Presentation (10%)
- Exam (40%)
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Workload36 × 1 hr Lectures, 2 × 3 hr Labs, 6 × 2 hr Tutorials
Requisite and Incompatibility
Assumed KnowledgeMathematics including differential equations, complex numbers and Laplace transforms, matrices, Physics including classical mechanics and electrical circuits.
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- Unit value:
- 6 units
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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|4157||25 Feb 2019||04 Mar 2019||31 Mar 2019||31 May 2019||In Person||N/A|