units

MAE3408

Faculty of Engineering

18 September 2017 29 April 2024
Monash University

Undergraduate - Unit

This unit entry is for students who completed this unit in 2015 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelUndergraduate
FacultyFaculty of Engineering
Organisational UnitDepartment of Mechanical and Aerospace Engineering
OfferedClayton Second semester 2015 (Day)
Coordinator(s)Professor Bijan Shirinzadeh

Synopsis

This unit commences with the modelling of various dynamic engineering systems, followed by the analysis of their transient and steady-state responses. More sophisticated analytical methods such as root locus and frequency response will be explored and will build the foundation for controller design in the future. Modelling via state-space methods will also be briefly covered.

Outcomes

At the end of this unit, students are expected to:

  • value the significance and relevance of systems and associated control in engineering
  • formulate linear dynamic mathematical models of various systems (mechanical, electrical, fluid, hydraulic and pneumatic) as well as graphical models (such as block diagrams and signal flow graphs) using time-domain, frequency-domain and state-space techniques together with the unified concept of resistance, capacitance and inertia/inductance
  • calculate the response of systems as a function of time using classical differential equation solution, Laplace transforms and state-space method
  • analyze the stability and dynamic performance of a system using root locus and Bode plot methods, and calculate system parameters to achieve the desired dynamic response
  • recognise the effects of non-linearity in systems and accept the limitations of the use of linear models as approximations
  • formulate solutions using computer-based techniques (such as Matlab)

Assessment

Written assignments and laboratory work: 30%
Examination (3 hours): 70%

Workload requirements

3 hours of lectures, 2 hours of tutorials and 6 hours of private study per week plus two 3-hour laboratories during semester.

See also Unit timetable information

Chief examiner(s)

Professor Chris Davies

Prerequisites

MAE3404

Prohibitions

TRC3600, MEC3457