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MECH ENG 2019 - Dynamics & Control I

North Terrace Campus - Semester 2 - 2024

Students will be introduced to various applications of feedback control systems and develop fundamentals associated with modelling, analysis, design and simulation of automatic control systems. This course also aims to introduce the basic concepts of machine dynamics and their engineering applications, and deals with the analysis, kinematic design and application of a variety of mechanisms.

  • General Course Information
    Course Details
    Course Code MECH ENG 2019
    Course Dynamics & Control I
    Coordinating Unit Mechanical Engineering
    Term Semester 2
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 4 hours per week
    Available for Study Abroad and Exchange Y
    Assumed Knowledge MECH ENG 1007, MATHS 2106 & ELEC ENG 1101
    Restrictions Available to all programs offered by the School of Mechanical Engineering.
    Assessment Assignments, laboratory experiments, final exam
    Course Staff

    Course Coordinator: Dr Mergen Ghayesh

    Course Timetable

    The full timetable of all activities for this course can be accessed from .

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students will be able to:

     
    1 Explain the principles of machine dynamics and mobility in different coordinate systems;
    2 Apply vector analysis to planar mechanisms to quantify the displacement, velocity and acceleration of the mechanism components;
    3 Use kinetics of mechanisms for determination of forces and moments;
    4 Use kinematic analysis and design of gears and simple, compound, reverted and epicyclical gear trains;
    5 Explain the concept of inertial forces and apply the principles of static and dynamic balancing for rotating and reciprocating systems;
    6 Explain the concept of feedback in control systems;
    7 Generate the transfer functions and block diagrams of any dynamical systems;
    8 Analyse the stability and performance of any linear feedback control systems;
    9 Design linear controllers using root locus technique, and
    10 Use software tools to design, analyze and evaluate control systems in the time domain.

     
    The above course learning outcomes are aligned with the Engineers 最新糖心Vlog . The course develops the following EA Elements of Competency to levels of introductory (A), intermediate (B), advanced (C):  
     
    1.11.21.31.41.51.62.12.22.32.43.13.23.33.43.53.6
    C C A A A A A A A A A A
    最新糖心Vlog Graduate Attributes

    This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

    最新糖心Vlog Graduate Attribute Course Learning Outcome(s)

    Attribute 1: Deep discipline knowledge and intellectual breadth

    Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.

    1-10

    Attribute 2: Creative and critical thinking, and problem solving

    Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.

    2-8, 9

    Attribute 3: Teamwork and communication skills

    Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.

    1, 9

    Attribute 4: Professionalism and leadership readiness

    Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.

    1, 9

    Attribute 5: Intercultural and ethical competency

    Graduates are responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society.

    1, 9
  • Learning Resources
    Required Resources

    Course notes – these are essential and required.

    Recommended Resources

    1. Nise, N., Control Systems Engineering, 8th Ed, Wiley, or Dorf, R.C. and Bishop, R.H., Modern Control Systems, Prentice Hall.

    2. Mabie, H.H. and Reinholtz, C.F., 1987, Mechanisms and Dynamics of Machinery, Fourth Edition, Wiley and Sons.

    Online Learning
    Lectures complemented by online resources available on MyUni, including lecture recordings.
  • Learning & Teaching Activities
    Learning & Teaching Modes

    This course is supported by problem-solving workshops, laboratory and practicals.

    Workload

    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    The required time commitment is 48 hours attendance at workshops, 48 hours of revising course material, 48 hours completing assignments, and 40 hours preparing and completing laboratory and practical reports.

    Learning Activities Summary
    • Velocity and acceleration in mechanisms/linkages 

    • Kinematics and dynamics of gears

    • Gear trains 

    • Force analysis of plane mechanisms 

    • Balancing of rotating masses 

    • Balancing of reciprocating masses 

    • Introduction to the concept of feedback in control systems

    • Mathematical modelling and Laplace Transforms 

    • Transfer Function and Block Diagrams

    • Time Response 

    • Performance Specifications 

    • System Stability 

    • Root locus Techniques 

    • Compensator Design via Root Locus 

    Specific Course Requirements

    None.

  • Assessment

    The 最新糖心Vlog's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    Assessment Task Task Type Individual / Group Due (week)* Weighting Hurdle Criteria Learning Outcome
    Machine Dynamics assignments x 4 Summative Individual 2 - 13 15% 1 - 5
    Machine Dynamics practical Summative Individual 2 - 13 5% min 40% 1, 2, 3
    Auto Control assignments x 3 Summative Individual 2 - 13 12.5% 6 - 10
    Auto Control online quizzes x 5 Summative Individual 2 - 13 2.5% 6 - 10
    Auto Control practicals x 2 Summative Group 2 - 13 5% min 40% 6 - 10
    Exam Summative Group Exam period 60% 1 - 10
    * The specific due date for each assessment ask will be available on MyUni.


    All assessment tasks are summative. There are two equally weighted components of the course. For the Machine Dynamics component there are 4 assignments worth a total of 30% of the assessment and an exam worth 60%. In addition, there is a practical report worth 10%. For the Automatic Control component there are 3 assignments worth a total of 25% of the assessment, online quizzes worth 5% and an exam worth 60%. In addition, there are 2 practical reports worth a total of 10%. All assignments are due by 5pm on the due date. All students are required to attend lab and practical sessions, and must obtain at least 40% for the lab/prac components. 

    In accordance with the Assessment for Coursework Programs Policy, Procedure 1bAn exemption from the stated hurdle requirements has been granted.

    Assessment Related Requirements
    Note that the laboratory experiment and practicals are compulsory, and it is a requirement to pass the laboratory experiment and practicals (40%) to pass the course.
    Assessment Detail

    No information currently available.

    Submission

    All assignments must be submitted as instructed, in the digital drop box in MyUni. Late assignments will be penalised 10% per day. Extensions for assignments will only be given in exceptional circumstances and a case for this with supporting documentation can be made in writing after a lecture or via email to the lecturer. There will be no opportunities for re-submission of work of unacceptable standard.

    Course Grading

    Grades for your performance in this course will be awarded in accordance with the following scheme:

    M10 (Coursework Mark Scheme)
    Grade Mark Description
    FNS   Fail No Submission
    F 1-49 Fail
    P 50-64 Pass
    C 65-74 Credit
    D 75-84 Distinction
    HD 85-100 High Distinction
    CN   Continuing
    NFE   No Formal Examination
    RP   Result Pending

    Further details of the grades/results can be obtained from Examinations.

    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

    Final results for this course will be made available through .

  • Student Feedback

    The 最新糖心Vlog places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the 最新糖心Vlog to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

  • Student Support
  • Policies & Guidelines
  • Fraud Awareness

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