ECEN415 (2019) - Advanced Control Systems Engineering
This course builds on and extends the principles of modern control systems engineering introduced in ECEN 315 to enable students to develop mathematical models and use these to design optimal control systems for real-world multivariable engineering systems. Kalman filters and linear quadratic regulators will be introduced and the principles and benefits of modern model-based predictive control systems will be outlined. Methods will be developed for continuous time system descriptions but techniques for converting to discrete time descriptions and for designing controls for discrete time systems will also be presented.
Course learning objectives
Students who pass this course should be able to:
- Produce state-space models of a variety of linear and nonlinear electronic and mechanical systems (BE graduate attributes 3(a),3(c)),
- Design continuous and discrete time controllers using state-space techniques, including optimal control methods such as LQR (BE graduate attributes 3(a),3(b)),
- Design Luenberger state observers and Kalman filters, (BE graduate attributes 3(a),3(b),3(e )),
- Use the Matlab software package to solve practical problems in control engineering (BE graduate attributes 3(d),3(f)).
Withdrawal from Course
Withdrawal dates and process:
During the first half of the trimester there will be three lectures per week, dropping back to two after the mid-trimester break. The third lecture slot will continue to be used for occational tutorials or catch-up session as necessary.
Student feedback on University courses may be found at: www.cad.vuw.ac.nz/feedback/feedback_display.php
Dates (trimester, teaching & break dates)
- Teaching: 04 March 2019 - 09 June 2019
- Break: 15 April 2019 - 28 April 2019
- Study period: 10 June 2019 - 13 June 2019
- Exam period: 14 June 2019 - 29 June 2019
Set Texts and Recommended Readings
The text below is available online, via the link on Talis. We will not follow the the text closely, but the text will be useful for providing extra examples and for an alternative explanation of various topics. The text will likely prove to be most useful for the first half of the course.
- Astrom and Murray "Feedback Systems: An Introduction for Scientists and Engineers"
Mandatory Course Requirements
There are no mandatory course requirements for this course.
If you believe that exceptional circumstances may prevent you from meeting the mandatory course requirements, contact the Course Coordinator for advice as soon as possible.
This course will be assessed through assignments, a test, and a final examination.
|Assessment Item||Due Date or Test Date||CLO(s)||Percentage|
|Assignments (5)||Weeks 4, 6, 8, 10, 12||CLO: 1,2,3,4||40%|
|Test||Week 7||CLO: 4||10%|
|Examination||Examination Period||CLO: 1,2,3||50%|
Work submitted late will be subject to a penalty of 10% of the total mark per day (or part thereof). No work will be accepted once the solutions have been posted. ON occastions the solutions may need to be posted immediately after the due date, and this will be pointed out at the time that affected items are distributed.
Individual extensions will only be granted in exceptional personal circumstances, and should be negotiated with the course coordinator before the deadline whenever possible. Documentation (eg, medical certificate) may be required.
Submission & Return
All work should be submitted via the submission page on the course web site. Unless otherwise noted, all work should be submitted as pdf files. Handwritten work that is scanned as a pdf is fine. Submission of matlab code alone will not be adequate.
In order to maintain satisfactory progress in ECEN 415, you should plan to spend an average of 10 hours per week on this paper. A plausible and approximate breakdown for these hours would be:
- Lectures and tutorials: 3 hours
- Reading and Extra Problems: 4 hours
- Assignments: 3 hours
Communication of Additional Information
All online material for this course can be accessed at https://ecs.victoria.ac.nz/Courses/ECEN415_2019T1/
Links to General Course Information
- Academic Integrity and Plagiarism: https://www.victoria.ac.nz/students/study/exams/integrity-plagiarism
- Academic Progress: https://www.victoria.ac.nz/students/study/progress/academic-progess (including restrictions and non-engagement)
- Dates and deadlines: https://www.victoria.ac.nz/students/study/dates
- Grades: https://www.victoria.ac.nz/students/study/progress/grades
- Special passes: Refer to the Assessment Handbook, at https://www.victoria.ac.nz/documents/policy/staff-policy/assessment-handbook.pdf
- Statutes and policies, e.g. Student Conduct Statute: https://www.victoria.ac.nz/about/governance/strategy
- Student support: https://www.victoria.ac.nz/students/support
- Students with disabilities: https://www.victoria.ac.nz/st_services/disability/
- Student Charter: https://www.victoria.ac.nz/learning-teaching/learning-partnerships/student-charter
- Terms and Conditions: https://www.victoria.ac.nz/study/apply-enrol/terms-conditions/student-contract
- Turnitin: http://www.cad.vuw.ac.nz/wiki/index.php/Turnitin
- University structure: https://www.victoria.ac.nz/about/governance/structure
- VUWSA: http://www.vuwsa.org.nz
Offering CRN: 18519
Prerequisites: ECEN 315 (or PHYS 422)
Duration: 04 March 2019 - 30 June 2019
Starts: Trimester 1