CONTROL ENGINEERING - 2021/2

Module code: EEE3005

In light of the Covid-19 pandemic, and in a departure from previous academic years and previously published information, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21.

These changes include the implementation of a hybrid teaching approach during 2020/21. Detailed information on all changes is available at: https://www.surrey.ac.uk/coronavirus/course-changes. This webpage sets out information relating to general University changes, and will also direct you to consider additional specific information relating to your chosen programme.

Prior to registering online, you must read this general information and all relevant additional programme specific information. By completing online registration, you acknowledge that you have read such content, and accept all such changes.

Module Overview

Expected prior learning: Module EEE2033 – Electronics III: Circuits, Control and Communications (5-elC), or equivalent learning.

Module purpose: Control Engineering covers classical control theory as well as more modern methods. Students have the opportunity in this module to evaluate and apply various control techniques.

Module provider

Electrical and Electronic Engineering

Module Leader

WINDEATT Terry (Elec Elec En)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 6

JACs code: H660

Module cap (Maximum number of students): N/A

Module Availability

Semester 2

Prerequisites / Co-requisites

None.

Module content

[1-8] Introduction to closed-loop control principles. System modelling in time and complex frequency domains. Review of Laplace Transforms. Initial and final value theorems. Differential equations, transfer functions and block diagram manipulation. Multi-loop systems with secondary inputs and outputs and signal flow graphs. Relationship between pole-zero patterns and system impulse response. Stability in time and complex frequency domains. Proportional, integral and derivative control.

[9-22] Routh's stability criterion. Poles-zeros, and root locus concept. Loop gain and other parameters. Guidelines for sketching root locus. Zero-degree root loci. Lead and lag compensation. Frequency response method. Polar and Bode plots and guidelines for sketching. Nyquist stability criterion and its application. Relative stability. Nichols chart and its application. Specification of system performance. Steady state accuracy, system type and error constants. Lead/lag compensation, theory and design. Controller design for systems with time delay.

[23-30] Multivariable analysis. State space representation and advantages. Controllability and observability. Pole placement controller design techniques, based on state variable feedback. Estimator design. Lyapunov stability.

Introduction to digital control. Modelling sampled-data systems. Z-transform analysis. Pulsed transfer functions. Stability, steady state accuracy and transient response in the Z-domain. Methods of design of digital control systems for specified performance.

Assessment pattern

Assessment type	Unit of assessment	Weighting
Coursework	COURSEWORK	20
Examination	WRITTEN EXAM - 2 HOURS	80

Alternative Assessment

Not applicable: students failing a unit of assessment resit the assessment in its original format.

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate the learning outcomes. The assignment will assess the ability to learn about practical design of control systems.

Thus, the summative assessment for this module consists of:

·         2 hour closed book written examination

·         Assignment report due week 12.

·         Tutorial Presentations in class

Any deadline given here is indicative. For confirmation of exact date and time, please check the Departmental assessment calendar issued to you.

Formative assessment and feedback

For the module, students will receive formative assessment/feedback in the following ways.

·         During lectures, by question and answer sessions

·         During tutorials/tutorial classes

·         By means of unassessed tutorial problem sheets (with answers/model solutions)

·         Via the marking of written reports

          ·        Via assessed coursework

Module aims

Students will have the knowledge to understand control system analysis and design, including state-space and sampled-data analysis, and to apply the techniques to a practical problem using Matlab.

Learning outcomes

		Attributes Developed
1	Model physical systems and use mathematical tools such as Laplace and Z transforms, transfer functions and block diagrams to analyse/design simple single input/output control systems.	P
2	Understand pole-zero diagrams and assess stability using Routh, Nyquist, Bode plots, Root-locus.	KC
3	Specify systems in terms of time/frequency and other performance criteria, and design compensators using Root-locus, Bode plots and Nichols charts.	KC
4	Analyse systems using state-space representation.	KC
5	Assess stability, response and steady-state errors for sample-data systems and apply to simple design examples.	KC

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Overall student workload

Methods of Teaching / Learning

The learning and teaching strategy is designed to achieve the following aims:

The strategy is designed to give students an understanding of basic concepts in control engineering, and also to learn how to analyse and model control system using Matlab.

Learning and teaching methods include the following:

Lectures.

Coursework: Report on a tutorial sheet that requires use of Matlab (alternative assignment is literature-based survey report).

Tutorial presentation in class.

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

Reading list for CONTROL ENGINEERING : http://aspire.surrey.ac.uk/modules/eee3005

Programmes this module appears in

Programme	Semester	Classification	Qualifying conditions
Electronic Engineering with Computer Systems BEng (Hons)	2	Optional	A weighted aggregate mark of 40% is required to pass the module
Electronic Engineering BEng (Hons)	2	Optional	A weighted aggregate mark of 40% is required to pass the module
Electrical and Electronic Engineering BEng (Hons)	2	Compulsory	A weighted aggregate mark of 40% is required to pass the module
Electronic Engineering with Nanotechnology BEng (Hons)	2	Optional	A weighted aggregate mark of 40% is required to pass the module
Electronic Engineering with Nanotechnology MEng	2	Optional	A weighted aggregate mark of 40% is required to pass the module
Electronic Engineering with Space Systems BEng (Hons)	2	Optional	A weighted aggregate mark of 40% is required to pass the module
Electronic Engineering with Space Systems MEng	2	Optional	A weighted aggregate mark of 40% is required to pass the module
Electrical and Electronic Engineering MEng	2	Compulsory	A weighted aggregate mark of 40% is required to pass the module
Electronic Engineering with Computer Systems MEng	2	Optional	A weighted aggregate mark of 40% is required to pass the module
Electronic Engineering MEng	2	Optional	A weighted aggregate mark of 40% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2021/2 academic year.