| Effective Term: | 2025/05 |
| Institute / School : | Institute of Innovation, Science & Sustainability |
| Unit Title: | Advanced Control System Engineering |
| Unit ID: | ENGRG9203 |
| Credit Points: | 15.00 |
| Prerequisite(s): | (ENGRG4201) |
| Co-requisite(s): | Nil |
| Exclusion(s): | (ENGIN5405) |
| ASCED: | 031301 |
| Other Change: | |
| Brief description of the Unit |
This is a capstone unit enhancing students knowledge and skills in the advanced topics of control system engineering. Through this unit students will appraise their understanding of the applications and importance of control system in mechatronic applications. Students will be able to interpret, analyse and exemplify different areas of automated control systems, digital control systems, predictive control systems and real time realisation using suitable control system software. Integrating this unit with the knowledge and understanding obtained in previous units, students will be able to distinguish between the principles of different control systems and will be able to apply them in developing and designing appropriate engineering processes. The theoretical knowledge will be complemented with projects and laboratory exercises. The activities will allow students to enhance their skills in designing software based models for controlling mechatronic systems. The students will also learn to appreciate applications of the developed knowledge and skills in industrial environment. |
| Grade Scheme: | Graded (HD, D, C, P, MF, F, XF) |
| Work Experience Indicator: |
| No work experience |
| Placement Component: | |
| Supplementary Assessment:Yes |
| Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment |
| Course Level: |
| Level of Unit in Course | AQF Level(s) of Course | | 5 | 6 | 7 | 8 | 9 | 10 | | Introductory | | | | | | | | Intermediate | | | | | | | | Advanced | | | |  | | |
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| Learning Outcomes: |
| Knowledge: |
| K1. | Demonstrate advanced understanding of the theory and applications of control systems and controllers. |
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| K2. | Analyse and interpret principles of digital control system. |
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| K3. | Demonstrate understanding of performing stability analysis of control systems. |
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| K4. | Explain and appraise different transformation techniques and methodologies. |
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| K5. | Demonstrate understanding of different control systems design. |
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| Skills: |
| S1. | Design, evaluate and critically analyse different control systems for stability and performance to ensure relevant criteria are met. |
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| S2. | Transform and evaluate different control systems. |
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| S3. | Design, analyse and perform real time realisation of different control systems using control software. |
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| Application of knowledge and skills: |
| A1. | Apply mathematical and theoretical knowledge to design and model an effective control system for a practical engineering process. |
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| A2. | Design and apply a suitable automatic control system in order to automate an industrial engineering process. |
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| Other outcomes: |
| Unit Content: |
Topics may include:
1. Review of control system engineering including stability and steady state errors.
2. Design via root locus, frequency response and state response.
3. Introduction to the advanced principles of digital control system.
4. Digital control system stability; the z-transform and stability analysis in z-domain.
5. Overview of tustin transform, w-transform and higher harmonic control.
6. Discrete system design and analysis.
7. Predictive control system: modelling and principles.
8. Optimal control: principles, designing and modelling.
9. Stochastic optimal control and nonlinear optimisation.
10. Advanced applications of calculus of variations to optimal control.
11. Computer / microprocessor based control, adaptive control and fuzzy logic control systems.
12. Multivariable controllers based on fuzzy logic and neural network methods.
13. Designing, modelling and real time realisation of different control systems using control software. |
| Graduate Attributes: |
| Federation University recognises that students require key transferable employability skills to prepare them for their future workplace and society. FEDTASKS (Transferable Attributes Skills and Knowledge) provide a targeted focus on five key transferable Attributes, Skills, and Knowledge that are be embedded within curriculum, developed gradually towards successful measures and interlinked with cross-discipline and Co-operative Learning opportunities. One or more FEDTASK, transferable Attributes, Skills or Knowledge must be evident in the specified learning outcomes and assessment for each FedUni Unit, and all must be directly assessed in each Course.
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| FED TASK and descriptor | Development and acquisition of FEDTASKS in the Unit | Learning outcomes
(KSA) | Assessment task
(AT#) | FEDTASK 1
Interpersonal | Students will demonstrate high-level skills to effectively communicate, interact and work with others both individually and in groups Students will be required to display (in person and/or online) high-level skills in-person and/or online in: • Effective verbal and non-verbal communication via a range of synchronous and asynchronous methods • Active listening for meaning and influencing • High-level empathy for others • Negotiating and demonstrating extended conflict resolution skills • Working respectfully in cross-cultural and diverse teams | Not applicable | Not applicable | FEDTASK 2
Leadership | Students will demonstrate the ability to apply leadership skills and behaviours Students will be required to display skills in: • Creating, contributing to, and enabling collegial environments • Showing self-awareness and the ability to self-reflect for personal growth • Inspiring and enabling others • Making informed and evidence-based decisions through consultation with others • Displaying initiative and ability to solve problems | Not applicable | Not applicable | FEDTASK 3
Critical Thinking and Creativity | Students will demonstrate an ability to work in complex and ambiguous environments, using their imagination to create new ideas Students will be required to display skills in: • Reflecting critically on complex problems • Synthesising, evaluating ideas, concepts and information • Proposing alternative perspectives to refine ideas • Challenging conventional thinking to clarify concepts through deep inquiry • Proposing creative solutions in problem solving | Not applicable | Not applicable | FEDTASK 4
Digital Literacy | Students will demonstrate the ability to work proficiently across a range of tools, platforms and applications to achieve a range of tasks Students will be required to display high-level skills in: • Finding, accessing, collating, evaluating, managing, curating, organising and appropriately and securely sharing complex digital information at a high-level • Receiving and responding to messages in a range of digital media • Using digital tools appropriately to conduct research • Contributing proficiently to digital teams and working groups • Participating in and utilising digital learning opportunities | Not applicable | Not applicable | FEDTASK 5
Sustainable and Ethical Mindset | Students will demonstrate the ability to think ethically and sustainably. Students will be required to display skills in: • The responsible conduct of research • Making informed judgments that consider the impact of devising solutions in multiple global economic environmental and societal contexts • Demonstrating commitment to social responsibility as a professional and a citizen • Generating research solutions which are sustainable,ethical, socially responsible and/or sustainable • Extending lifelong, life-wide and life-deep learning to be open to diverse others • Demonstrate extended actions to foster sustainability in their professional and personal life. | Not applicable | Not applicable |
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| | Learning Outcomes Assessed | Assessment Tasks | Assessment Type | Weighting | Professional Standards |
| 1. |
S1-S3, A1-A2 |
Experimental work and / or projects to verify students ability to apply knowledge and skills acquired in the unit. |
Reports, demonstrations |
10-30% |
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| 2. |
K1-K5, S1-S3 |
Relevant tasks and problems to enforce understanding of the students and help in gradual development of knowledge and skills throughout the unit. |
Assignments, quizzes |
10-30% |
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| 3. |
K1-K5 |
Questions and problems related to the unit contents. |
Exams / Tests |
40-60% |
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