units

TRC3600

Faculty of Engineering

18 September 2017 26 April 2024

print version

This unit entry is for students who completed this unit in 2016 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.

Monash University

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

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

Faculty

Engineering

Coordinator(s)

Professor Bijan Shirinzadeh (Clayton); Dr Edwin Tan (Malaysia)

Offered

Clayton

  • Second semester 2016 (Day)

Malaysia

  • First semester 2016 (Day)
  • Second semester 2016 (Day)

Synopsis

This unit commences with the modeling 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. Modeling 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
  • analyse 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%

Students are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.

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

Co-requisites

TRC3200

Prohibitions

MAE3408, MEC3457