This unit introduces students to the fundamental principles of some basic systems comprising of – Mechanical, Electrical, Electronic, Computing and Electro-mechanical sub-systems, with an intention to introduce cross-links between them for an integrated design approach towards their application to the development of complex systems. This unit would outline the breadth of the knowledge that the mechatronics systems engineer must acquire regarding the features of diverse sub-systems and components that constitute the total system.
MEC4456 / TRC4800 Robotics
The unit will cover fundamentals of robotics and robotic automation. The contents include: Spatial descriptions and transformations, manipulator forward and inverse kinematics, differential relationships and the Jacobian. Manipulator dynamics. Problem specification and solution preparation. Manipulator and end-effector configuration and design. Manipulator position control, involving sensing and actuation. Robotics in manufacturing and automation. Task Planning and techniques for modelling, simulation and programming of robotic tasks. Computational geometry for design and manufacture. Introduction to autonomous systems.
(the Bioloid teaching robot programmed to perform single-foot stand)
MAE3408 Aerospace Control / TRC3600
Modelling and ControlThis 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.
MEC3457 Systems and Control
This unit covers the nature and behaviour of simple components, processes and subsystems relevant to engineering control. Mechanical, electrical, fluid pressure devices and complete elementary control systems are included. Orientation is to predicting, examining and assessing system performance via formation of mathematical models and solution of models. Laboratory experiments and hands-on instruction in the digital simulation package Matlab to solve models. A unified approach to mathematical modelling via the concepts of resistance, capacitance and inertia/inductance is emphasised. Students learn to perform system modelling, develop solution, assess a system response and analyse systems.
MEC4418 Control System
Instruction on the basics of automatic control design, including analysis and design techniques (with MATLAB/SIMULINK). Assumes students have the ability to form and use classical and state-space models of linear systems, can calculate their responses in time and frequency domain, and have experience in using MATLAB. Control system design through root-locus, frequency response, direct pole-placement, and state estimation, with concepts of linear systems, controllability, and observability. Introductions to robust stability, PID control design, digital systems, and optimal control design methods will also be provided.
MEC4403/MAE4904 Minor Research Project
This unit provides the student the opportunity to investigate a social problem which has subsequently been resolved through an engineering solution. The student is required to clearly define the problem which is to be resolved; describe the scientific principles underlying the engineering solution; discuss incremental improvements to the engineering product over time and identify future improvements which may resolve current issues in the construction, use and/or disposal of the engineering solution.
MEC3458 Experimental Project
Introduction to data acquisition across a range of data types, analogue-digital sampling and signal conditioning. Data acquisition and processing functions using LabView. Current data measurement technologies and equipment, acquisition methodologies used in fluid dynamics, material properties, thermodynamics, control and dynamics. Data analysis methods including error analysis, validation, spectral analysis identification and interpretation of trends. Introduction to research practices, formation and testing of hypotheses as well as experiment design and project management. Communication skills and techniques, preparation of reports and oral presentations. Occupational health and safety.