Control Systems (12061.1)
| Available teaching periods | Delivery mode | Location |
|---|---|---|
| View teaching periods | On-campus |
Bruce, Canberra |
| EFTSL | Credit points | Faculty |
| 0.125 | 3 | Faculty Of Science And Technology |
| Discipline | Study level | HECS Bands |
| School Of Information Technology & Systems | Level 3 - Undergraduate Advanced Unit | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
Upon successful completion of this unit, students will be able to:1. Design and implement robot models using Transfer Function Approach;
2. Develop Feedback/Feed-forward control architectures for robot systems;
3. Synthesise block diagrams and PID controllers for robots and perform stability analysis; and
4. Develop Bode diagrams and perform Root locus analysis of robot systems.
Graduate attributes
1. º¬Ðß²ÝÊÓƵ graduates are professional - employ up-to-date and relevant knowledge and skills1. º¬Ðß²ÝÊÓƵ graduates are professional - communicate effectively
1. º¬Ðß²ÝÊÓƵ graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. º¬Ðß²ÝÊÓƵ graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
2. º¬Ðß²ÝÊÓƵ graduates are global citizens - understand issues in their profession from the perspective of other cultures
2. º¬Ðß²ÝÊÓƵ graduates are global citizens - communicate effectively in diverse cultural and social settings
2. º¬Ðß²ÝÊÓƵ graduates are global citizens - make creative use of technology in their learning and professional lives
3. º¬Ðß²ÝÊÓƵ graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
Prerequisites
12065 Digital Signal Processing AND12058 Robot Dynamics
Corequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.| Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
|---|---|---|---|---|---|
| 2026 | Bruce, Canberra | Semester 2 | 10 August 2026 | On-campus | Dr Maryam Ghahramani |
| 2027 | Bruce, Canberra | Semester 2 | 09 August 2027 | On-campus | Dr Maryam Ghahramani |
Required texts
We will not follow any text book chapter by chapter. The books mentioned below are for reference and further reading to develop a thorough understanding of the material.
Zywno, M. (n.d.). Introduction to control systems. Ryerson University.
López-Estrada, F. R., & Valencia-Palomo, G. (Eds.). (2021). Advanced mathematics and computational applications in control systems engineering. MDPI.
Ogata, K. (2010). Modern control engineering (5th ed.). Prentice Hall.
Submission of assessment items
Extensions & Late submissions
All the assessments will need to adhere to a particular format as specified on the unit's Canvas site and submitted electronically via Canvas.
Detailed rubrics will be provided for each assessment.
Artificial intelligence
Guided - Students will be guided in how GenAI must/may be used in completing the assessment as detailed in the unit outline and assessment instructions. More detailed information can be found at GenAI and Assessment at º¬Ðß²ÝÊÓƵ.
Special assessment requirements
To be awarded a particular grade in DSP, students must meet the overall requirements, individual requirements for each assessment item set out in the table below. All grades are conditional upon the following minimum requirements:
| Grade |
All assessment |
| Pass |
Minimum 50% of combined weighted marks of all assessment items |
| Credit |
Minimum 65% of combined weighted marks of all assessment items |
| Distinction |
Minimum 75% of combined weighted marks of all assessment items |
| High Distinction |
Minimum 85% of combined weighted marks of all assessment items |
The unit convenor reserves the right to question students on any of their submitted work for moderation and academic integrity purposes.
Students must apply academic integrity in their learning and research activities at º¬Ðß²ÝÊÓƵ. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
º¬Ðß²ÝÊÓƵ students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
º¬Ðß²ÝÊÓƵ uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the , , and º¬Ðß²ÝÊÓƵ (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
Expected Average Student Workload: * denotes an assessable item
- Lectures: 12 x 2h =24h
- Tutorials/Computer Labs 10x2h =20h
- Preparation (lectures, tutorials, computer labs, reading) =46h
- Online Quiz =5h
- System Modelling and Analysis Report =15h
- Controller Design and Performance Evaluation =20h
- Advanced Control Research Review and Design Proposal =20h
Total 150 hours
Participation requirements
To get the most out of unit, students are highly recommended to actively participate in the lectures as well as the tutorials.
Not attending or actively participating in tutorial sessions will impact your performance and marks in Assessment and Lab Report.
Required IT skills
Basic Programming Skills in Matlab, Python
Work placement, internships or practicums
None
