EEEN315 (2024) - Control and Instrumentation

Prescription

The course shows how models can be used to analyse, describe and predict the behaviour of mechanical and electrical systems. The use of feedback to alter the properties of these systems to meet desired specifications is presented. A variety of methods are developed for designing control systems, including the use of a PID controller.

Course learning objectives

Students who pass this course should be able to:

  1. Produce mathematical models of mechanical, electrical and electromechanical systems using differential equations.  (Graduate Attributes 3a, c)
  2. Predict the behaviour of a system given a differential equation or transfer function model for the system. (Graduate Attribute 3c.)
  3. Understand the concept of feedback and how it influences the response of a system. (Graduate Attribute 3c)
  4. Understand the operation and implementation of lead, lag and PID compensation and be able to design such compensators in continuous time using Root Locus and frequency response techniques. (Graduate Attribute 3b)
  5. Predict and design operational amplifier circuit performance using the principles of negative feedback. (Graduate Attribute 3b)
  6. Analyse a real-world system and then design, test and evaluate an appropriate control system to achieve specified objectives. (Graduate Attributes 3b, d, e, f)
  7. Produce concise, correctly structured engineering reports, including statistical analysis, graphical presentation of results and discussion of methodological limitations. (Graduate Attribute 2b)

Course content

We’ve designed this course for in-person study, and to get the most of out it we strongly recommend you attend lectures on campus. Most assessment items, as well as tutorials/seminars/labs/workshops will only be available in person. Any exceptions for in-person attendance for assessment will be looked at on a case-by-case basis in exceptional circumstances, e.g., through disability services or by approval by the course coordinator.
 
If you started your programme of study remotely and can only study remotely, please contact the School so we can help and confirm what courses are available.

Withdrawal from Course

Withdrawal dates and process:
https://www.wgtn.ac.nz/students/study/course-additions-withdrawals

Lecturers

Daniel Burmester (Coordinator)

Dr Gideon Gouws

Teaching Format

The course contact hours consist of two weekly face to face lectures and a weekly tutorial. The lectures cover control theory, while the tutorials cover problem solving, discuss applications of the material and allow preparation for the practical work. Tutorials also allow for discussion of the broader impact of control engineering, in areas such as system safety, energy efficiency and sustainability.
 
The course includes a single trimester long project, done partly in the labs, where students apply the material to the identification and control of a real-world system. Students produce two reports of approximately 10 pages outlining their work on the project. During this year the majority of the project will be able to be done remotely via simulation. However, there will be two lab sessions (nominally in week 7 and week 10) that will have a required hardware component that will require attendence in the laboratory.
 
Completion of the laboratory session presented in the first week will require physical attendence. While this laboratory is not directly assessed, it does contribute to the development of laboratory skills. Satisfactory completion of the report associated with this laboratory is therefore a mandatory course requirement.
 
There will be flexibility in the timing of the in-person laboratory activities. Students who believe they may have trouble completing them within the nominal course period should contact staff.

Student feedback

Student feedback will be provided via the submission system or other annotation on student work.

Dates (trimester, teaching & break dates)

  • Teaching: 26 February 2024 - 31 May 2024
  • Break: 01 April 2024 - 14 April 2024
  • Study period: 03 June 2024 - 06 June 2024
  • Exam period: 07 June 2024 - 22 June 2024

Class Times and Room Numbers

26 February 2024 - 24 March 2024

  • Friday 09:00 - 09:50 – 119, Cotton, Kelburn
26 February 2024 - 31 March 2024

  • Tuesday 09:00 - 09:50 – 119, Cotton, Kelburn
  • Wednesday 09:00 - 09:50 – 119, Cotton, Kelburn
15 April 2024 - 02 June 2024

  • Tuesday 09:00 - 09:50 – 119, Cotton, Kelburn
  • Wednesday 09:00 - 09:50 – 119, Cotton, Kelburn
  • Friday 09:00 - 09:50 – 119, Cotton, Kelburn

Required

There are no required texts for this offering.

  • The course text book is Norman Nise "Control System Engineering", now in its eighth edition. We will not follow the text closely, but students are advised to ensure access to the text or to an alternate source of practice problems. Physical copies of the text (and alternatives) are available in the library, and limited electronic access to the main text is also available. Details may be found on the course reading list.

Mandatory Course Requirements

In addition to achieving an overall pass mark of at least 50%, students must:

  • Achieve a grade of at least 40% for each of the project reports, because the projects are the only assessment items addressing CLO’s 6 and 7.
  • Submit an adequate laboratory report for the instrumentation laboratory.

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.

Assessment

Assessment ItemDue Date or Test DateCLO(s)Percentage
Assignments (4) (approx 6 hours each)Weeks 4, 6, 10 and 12CLO: 1,2,3,4,530%
Project Reports (2) (approx 10 hours each)Weeks 6, 12CLO: 1,2,3,4,5,6,720%
Tests (2) (2 hours each)Week 7 and during the assessment period.CLO: 1,2,3,4,550%

Penalties

Work submitted late will incur a 10% penalty per late day or part thereof. Students expecting to submit work late should use the extension system that is part of the submission system.

Extensions

Extension procedures for EEEN 315 will use with the normal Faculty extension process. You need not contact the course lecturers directly for most assignment extensions, but simply follow the procedures within the submission system. If you require extensions beyond that handled automatically then you should contact staff.

Submission & Return

Submission of assignments and project reports will be through the ECS submission system.

Workload

The student workload for this course is 150 hours.

Teaching Plan

See: https://ecs.wgtn.ac.nz/Courses/EEEN315_2024T2/LectureSchedule

Communication of Additional Information

Nuku will be the main source of information for the course including video of the lectures.

Offering CRN: 34004

Points: 15
Prerequisites: EEEN 203 (or ECEN 203)
Restrictions: ECEN 315
Duration: 26 February 2024 - 23 June 2024
Starts: Trimester 1
Campus: Kelburn