Undergraduate - UnitMAE3408 - Aerospace control

This unit entry is for students who completed this unit in 2014 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.

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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, or view unit timetables.

Level	Undergraduate
Faculty	Faculty of Engineering
Organisational Unit	Department of Mechanical and Aerospace Engineering
Offered	Clayton Second semester 2014 (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)