MTSY-MAJ - Mechatronics Systems

Mechatronics Systems

Description

Mechatronics is an emerging engineering discipline based on the integration of mechanical, electrical and computing technology for advanced engineering applications. Engineers with a specialisation in mechatronics are at the forefront of developments in defence, space, medical, transport, mining and manufacturing industries. Courses include System Dynamics, Control Systems, Computer Vision and Robotics. This major is aligned with research on autonomous robotics systems (aerial, terrestrial and submersible), systems theory and control and computer vision, with applications in, for example, aged care, environmental and infrastructure monitoring and automated driver assistance systems.


Other Information

  • Programs and Courses

  • Required Courses

    Course CodeCourse NameUnitsSchoolP&C LinkPublic Page
    ENGN1218 Introduction to Electronics 6.0 RSE P+C Public Web
    ENGN2218 Electronic Systems and Design 6.0 RSE P+C Public Web
    ENGN3331 System Dynamics 6.0 RSE P+C Public Web
    ENGN2229 Dynamics and Simulation 6.0 RSE P+C Public Web
    ENGN3213 Digital Systems and Microprocessors 6.0 RSE P+C Public Web
    ENGN3223 Control Systems 6.0 RSE P+C Public Web
    ENGN4528 Computer Vision 6.0 RSE P+C Public Web
    ENGN4627 Robotics 6.0 RSE P+C Public Web

    Learning Outcomes to EA Stage 1 Competency Mapping

    1. Knowledge and Skill base 2. Engineering Application Ability 3. Professional and Personal Attributes

    1.1

    1.2

    1.3

    1.4

    1.5

    1.6

    2.1

    2.2

    2.3

    2.4

    3.1

    3.2

    3.3

    3.4

    3.5

    3.6

    1Describe the working concepts of mechatronic systems and the underlying fundamental principles of electronic, mechanical and computer engineering tick tick tick
    2Demonstrate technical competence in the field of mechatronics engineering including problem identification and formulation, as well as dynamic and control analysis of mechatronic systems tick tick tick tick tick
    3Demonstrate the practical skills associated with the use of modern modelling and simulation tools tick tick tick tick
    4Design electronic and embedded systems for mechatronic applications including robotic, computer vision and control systems tick tick tick tick tick tick tick
    5Apply and transfer interdisciplinary systems engineering approaches to the field of mechatronics engineering tick tick tick tick tick tick tick tick tick tick
    6Identify and critically discuss emerging technologies in robotics and computer vision tick tick

    Engineers Australia Stage 1 Competency Summary

    1. Knowledge and Skill base

    1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline. tick
    1.2 Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. tick
    1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline. tick
    1.4 Discernment of knowledge development and research directions within the engineering discipline. tick
    1.5 Knowledge of engineering design practice and contextual factors impacting the engineering discipline. tick
    1.6 Understanding of the scope, principles, norms, accountabilities and bounds of sustainable engineering practice in the specific discipline. tick

    2. Engineering Application Ability

    2.1 Application of established engineering methods to complex engineering problem solving. tick
    2.2 Fluent application of engineering techniques, tools and resources. tick
    2.3 Application of systematic engineering synthesis and design processes. tick
    2.4 Application of systematic approaches to the conduct and management of engineering projects. tick

    3. Professional and Personal Attributes

    3.1 Ethical conduct and professional accountability. tick
    3.2 Effective oral and written communication in professional and lay domains. tick
    3.3 Creative, innovative and pro-active demeanour. tick
    3.4 Professional use and management of information. tick
    3.5 Orderly management of self, and professional conduct. tick
    3.6 Effective team membership and team leadership. tick

    Learning Outcomes to EA Stage 1 Competency Mapping

    ENGN1218 - Introduction to Electronics

    1. Knowledge and Skill base 2. Engineering Application Ability 3. Professional and Personal Attributes

    1.1

    1.2

    1.3

    1.4

    1.5

    1.6

    2.1

    2.2

    2.3

    2.4

    3.1

    3.2

    3.3

    3.4

    3.5

    3.6

    1Students be able to describe the circuit elements and theorems from the first principles. tick tick tick
    2Students be comfortable in using the mesh/node analysis tools to systematically solve electrical circuits. tick tick tick
    3Students be able to analyse the time responses of first-order switching circuits (RL and RC). tick tick tick
    4Students be able to explain the operation of basic electronic devices (diode and operational amplifier), theirs uses and limitations. tick tick tick
    5Students be able to simulate simple circuits using computer-aided tool (PSpice). tick
    6Students be fluent in using electronic equipments (e.g. Oscilloscope and signal generator) for analysing electronic circuits with resistors, capacitors, inductors and diodes. tick
    7Students be able to write a lab report with an appropriate level of detail and insights, for understanding by others not familiar with the lab procedure. tick tick tick tick tick tick
    8Students be able to understand the concept of linear system and superposition in engineering problems. tick
    9Students be able to apply appropriate mathematical tools for modelling and solving linear system. tick
    10Students be able to critically analyse the experimental results and understand the limits of theories in real system. tick tick tick
    11Students be able to demonstrate and evaluate a working diode-rectifier circuit using a prototyping boards. tick tick tick tick tick tick

    ENGN2218 - Electronic Systems and Design

    1. Knowledge and Skill base 2. Engineering Application Ability 3. Professional and Personal Attributes

    1.1

    1.2

    1.3

    1.4

    1.5

    1.6

    2.1

    2.2

    2.3

    2.4

    3.1

    3.2

    3.3

    3.4

    3.5

    3.6

    1Apply circuit analysis techniques (e.g. Kirchhoff?s law?s, Thevenin equivalent circuits, Phasors and complex impedances, Transfer functions) to solve electronic circuits tick tick tick
    2Explain transistor operating modes & analyse operation of basic transistor amplifier circuits tick tick tick
    3Identify first order filter circuits and draw Bode Plots to determine the frequency response tick tick tick
    4Explain analogue to digital and digital to analogue conversion techniques and design combinational logic circuits using Karnaugh Maps tick tick tick tick tick tick
    5Analyse & design electronic circuits for specific applications using op-amps & 555 Timer tick tick tick tick tick
    6Explain in simple terms the working of electronic circuits tick
    7Select appropriate mathematical techniques to analyze and design electronic circuits tick tick tick
    8Utilise a systems approach to identify key design parameters and justify choice of particular electronic components tick tick tick
    9Build circuits and take measurements using electrical measurement devices such as oscilloscope, function generator, digital multi-meter, power supply; compare the measurements with the behavior predicted by the mathematical models and explain the discrepancies tick tick tick
    10Model and optimise the performance of analogue and digital electronic circuits using simulation packages such as PSPICE and DigitalWorks tick tick tick tick
    11Read data sheets and circuit diagrams and recognize building blocks such as op-amp circuits, logic gates, amplifiers, filters and timers tick
    12Calculate results using scientific calculator (complex mode, base-n mode, engineering mode) in a knowledgeable and confident manner tick

    ENGN3331 - System Dynamics

    1. Knowledge and Skill base 2. Engineering Application Ability 3. Professional and Personal Attributes

    1.1

    1.2

    1.3

    1.4

    1.5

    1.6

    2.1

    2.2

    2.3

    2.4

    3.1

    3.2

    3.3

    3.4

    3.5

    3.6

    1Solve multi-particle and rigid body kinematics problems tick tick tick
    2Solve multi-particle and rigid body dynamics problems using the Newton-Euler approach tick tick tick
    3Derive the equations of motion of mechanical, electrical and simple electromechanical systems using the Euler-Lagrange approach tick tick tick tick
    4Perform basic system identification of 1-DoF and 2-DoF mechanical oscillators tick tick
    5Construct computer models of simple electromechanical systems using multi-domain modelling software tick tick

    ENGN2229 - Dynamics and Simulation

    1. Knowledge and Skill base 2. Engineering Application Ability 3. Professional and Personal Attributes

    1.1

    1.2

    1.3

    1.4

    1.5

    1.6

    2.1

    2.2

    2.3

    2.4

    3.1

    3.2

    3.3

    3.4

    3.5

    3.6

    1demonstrate a basic understanding of differential equations and stochastic processes and their role in engineering simulation tick tick
    2construct dynamical system models of simple engineering systems and analyse their basic properties through computer simulation tick tick tick
    3explain the fundamental practical limitations of numerical simulation of dynamical systems and know how to recognise them tick
    4demonstrate an introductory level understanding of numerical optimisation methods and how they are applied in system design tick tick
    5make design recommendations for simple mechatronic systems based on dynamics simulation data tick tick tick

    ENGN3213 - Digital Systems and Microprocessors

    1. Knowledge and Skill base 2. Engineering Application Ability 3. Professional and Personal Attributes

    1.1

    1.2

    1.3

    1.4

    1.5

    1.6

    2.1

    2.2

    2.3

    2.4

    3.1

    3.2

    3.3

    3.4

    3.5

    3.6

    1Design combinational and sequential logic hardware using schematics and Verilog HDL. Follow an appropriate workflow for digital system design tasks and their implementation in programmable logic. tick tick tick tick tick tick
    2Analyse and design complex digital systems through the Finite State Machine and Register-Transfer-Level frameworks. tick tick tick
    3 Demonstrate a solid understanding of basic C and Assembly programming languages in an embedded programming context. tick tick
    4Describe the architecture, programming and use of microprocessors and FPGAs, and distinguish appropriate areas of application for each technology. tick tick tick
    5Adopt a top-down design approach to deconstruct a design goal and translate system requirements into a practical design tick tick
    6Plan, execute and report on a project working in a group tick tick tick tick tick tick
    7Use a number of commercial and open-source softwares: ISE WebPACK, ICARUS Verilog, GTKwave, Atmel Studio tick tick
    8Demonstrate practical electronics testbench skills and use a development board tick tick
    9Interpret schematics and datasheets tick
    10Communicate effectively in written form about their work tick tick tick

    ENGN3223 - Control Systems

    1. Knowledge and Skill base 2. Engineering Application Ability 3. Professional and Personal Attributes

    1.1

    1.2

    1.3

    1.4

    1.5

    1.6

    2.1

    2.2

    2.3

    2.4

    3.1

    3.2

    3.3

    3.4

    3.5

    3.6

    1Understand the properties of feedback and feed-forward control architecture and specify control architecture for a real world problem. tick tick tick tick
    2Understand and compute sensitivity and complimentary sensitivity for a feedback system. tick tick tick
    3Compute gain and phase margins, and understand implications for control, calculate the Nyquist conditions for a linear system and understand its implications in terms of robust stability margins, compute band-pass for a linear system and understand its significance in control design. tick tick tick tick tick tick
    4Design Lead-Lag compensators based on frequency data for an open-loop linear system. tick tick tick tick tick
    5Understand the state-space paradigm and models, and how to design state feedback controllers to achieve pole-placement. tick tick tick tick tick tick
    6Understand the basic structure of a sampled-data system, including a comprehension of issues such as Nyquist sampling theorem and aliasing as well as structure of Z-transform transfer functions and issues associated with inter-sample ripple, compute discrete-time equivalents of continuous-time plants using zero-order hold, trapezoid integration and pole matching techniques. tick tick tick
    7Understand the importance of performance, robustness and stability in control design. tick tick
    8Have a strong intuitive understanding of the link between the ODE representation, the s-domain representation and physical characteristics of the time response of an LTI SISO system. tick tick
    9Identify simple systems and dominant response characteristics from time domain step-response data. tick tick tick tick
    10Work confidently with block diagram representations of control systems. tick tick tick tick
    11Design PID controllers based on empirical tuning rules. tick tick tick tick
    12Understand system type and steady state tracking error analysis. tick tick tick
    13Compute stability of linear systems using the Routh array test and use this to generate control design constraints. tick tick tick tick tick tick
    14Sketch Evan's root locus diagrams by hand. Use Evan's root locus techniques is control design for real world systems. tick tick tick tick tick

    ENGN4528 - Computer Vision

    1. Knowledge and Skill base 2. Engineering Application Ability 3. Professional and Personal Attributes

    1.1

    1.2

    1.3

    1.4

    1.5

    1.6

    2.1

    2.2

    2.3

    2.4

    3.1

    3.2

    3.3

    3.4

    3.5

    3.6

    1Understand the foundations of modern computer vision theory, problem and state of the art solutions. tick tick tick tick tick tick tick
    2Implement and test some fundamental computer vision algorithms e.g. image filtering, restoration, image segmentation, camera calibration, etc. tick tick tick tick tick tick tick tick
    3 Analyse and evaluate critically the building and integration of computer vision algorithms and systems. tick tick tick tick tick tick tick
    4Design and demonstrate a working computer vision system through team research project, and project report, presentation. tick tick tick tick tick tick tick tick tick tick
    5Continue to critically review and assess scientific literature and apply the knowledge and skills gained from the course in developing innovative applications. tick tick tick tick tick tick tick tick

    ENGN4627 - Robotics

    1. Knowledge and Skill base 2. Engineering Application Ability 3. Professional and Personal Attributes

    1.1

    1.2

    1.3

    1.4

    1.5

    1.6

    2.1

    2.2

    2.3

    2.4

    3.1

    3.2

    3.3

    3.4

    3.5

    3.6

    1familiar with the history, concept development and key components of robotics technologies. tick tick tick tick tick
    2familiar with various robot sensors and their perception principles that enable a robot to analyze their environment, reason and take appropriate actions toward the given goal. tick tick tick tick
    3understand and able to analyse and solve problems in spatial coordinate representation and spatial transformation, robot locomotion design, kinematics, motion control, localization and mapping, navigation and path planning. tick tick tick tick
    4able to apply and demonstrate the learned knowledge and skills in practical robotics laboratories and experiments. tick tick tick tick tick tick tick tick
    5able to design and implement a robotic project on a physical mobile robot platform, with tasks involving project specification, algorithm design, software programming, simulation and modelling, control and obstacle avoidance in a complex and interactive environment. tick tick tick tick tick tick tick tick tick tick
    6Enhancing communication skills through project report and seminar presentation. tick tick tick tick tick tick tick

    Updated:  28 Jul 2017/ Responsible Officer:  Head of School/ Page Contact:  Lecturer Name