Module Specification |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | Digital Control and Optimisation | ||
Code | ELEC303 | ||
Coordinator |
Dr S Maher Electrical Engineering and Electronics S.Maher@liverpool.ac.uk |
||
Year | CATS Level | Semester | CATS Value |
Session 2021-22 | Level 6 FHEQ | Second Semester | 15 |
Aims |
|
To introduce the students to the fundamentals of applied digital control. |
Pre-requisites before taking this module (other modules and/or general educational/academic requirements): |
ELEC207 Instrumentation & Control |
Co-requisite modules: |
Learning Outcomes |
|
(LO1) 1: The student will be able to use Z transforms and state-space modelling to design and implement digital control algorithms. |
|
(LO2) 2: The student will be able to set-up optimisation problems and utilise conventional and gradient based methods to solve these problems. |
|
(S1) Critical thinking and problem solving - Problem identifcation / synthesis |
|
(S2) Numeracy/computational skills - Reason with numbers/mathematical concepts/problem solving/numerical methods. |
|
(S3) An understanding of linear systems |
|
(S4) An ability to develop system models and to use them to design feedback control laws in order to enhance system performance |
|
(S5) An good understanding of controlling continuous systems via digital controllers |
|
(S6) A knowledge of typical computer controlled system artitectures |
|
(S7) An appreciation of the use of optimisation methods for system analysis and modelling |
|
(S8) An understanding of linear programming, non-linear programming and Dynamic programming can be used to solve system optimisation problems |
|
(S9) An appreciation of how computer-aided design and simulation tools operate |
|
(S10) An understanding of how the optimisation methods are applied to industrial and engineering optimisation problems |
|
(S11) An understanding of optimisation algorithm development |
Syllabus |
|
Part 1 - Digital Control; PART 2 - OPTIMISATION; |
Teaching and Learning Strategies |
|
Due to Covid-19, one or more of the following delivery methods will be implemented based on the current local conditions and the situation of registered students. Teaching Method 2 - Synchronous face to face tutorials (b) Fully online delivery and assessment Teaching Method 2 - On-line synchronous tutorials (c) Standard on-campus delivery with minimal social distancing Teaching Method 2 - Tutorial |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
20 |
10 |
30 | ||||
Timetable (if known) | |||||||
Private Study | 120 | ||||||
TOTAL HOURS | 150 |
Assessment |
||||||
EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
(303) Formal Exam This is an anonymous assessment. Assessment Schedule (When) :Semester 2 examination period August resit available to students who have had extenuating circumstances accepted by | 0 | 100 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Reading List |
|
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |