Module Catalogue 2025/26

EEE8154 : Control of Electric Drives

EEE8154 : Control of Electric Drives

  • Offered for Year: 2025/26
  • Module Leader(s): Dr Shafiq Odhano
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 1 Credit Value: 20
ECTS Credits: 10.0
European Credit Transfer System
Pre-requisite

Modules you must have done previously to study this module

Pre Requisite Comment

N/A

Co-Requisite

Modules you need to take at the same time

Co Requisite Comment

N/A

Aims

The module introduces students to the structure, configuration, control and industrial applications of electric drive systems. It aims to prepare students for analysing modern electric drives and operating these as competent engineers. Students learn about different motors and load types and the control of a three phase power electronic converter used in electric drives.

Outline Of Syllabus

Basic drive configurations of electric drives, load characteristics, quadrants of operation, flux-weakening

DC Drives: modelling and control of dc motor drives; operation with variable supply voltage

AC Drives: configurations of a three-phase power electronic converter; induction motor drive basics and control; space vector theory; PM machine dynamic equations; torque control of brushless dc motor; vector control of permanent magnet synchronous motor and induction motor drives; space vector modulation

Advanced control concepts and computer simulation: dc motor simulation; unipolar and bipolar H-Bridge modulation for DC drives; digital current and speed control of a dc motor drive; three-phase power electronic converter with RL load; space vectors, reference-frame transformations; modelling and control of a permanent magnet synchronous motor drive

Optional case study: Study of a 24V digitally controlled drive system – electronics design, sensor interface, and control software issues

Learning Outcomes

Intended Knowledge Outcomes

By the end of this module, students will be able:
1.       To identify and explain the main components of an electric drive system. (M2)
2.       To apply a comprehensive knowledge of mathematics to analyse the dynamic equations of electrical machines and derive torque expressions. (M1)
3.       To formulate control equations and implement these for various control loops of electrical machines. (M2)
4.       To select and apply numerical simulation tools for the analysis of electrical and mechanical system dynamics of an electric drive. (M3)
5.       To design solutions to control problems of electric drives and demonstrate knowledge of implementation issues. (M5)
6.       To develop vector control equations and conditions and apply these for the torque control of ac electrical machines. (M2)

Intended Skill Outcomes

By the end of this module, students will be able:
1.       To evaluate electric drives’ control performance for the minimization of adverse effects on the controlled process (M7)
2.       To develop control code for various control loops of an electric drive system (M1 and M2)
3.       To choose an electric drive with correct current and voltage ratings for an application (M3)
4.       To evaluate speed and torque limits of an electric drive (M1 and M3)
5.       To function effectively as a member of a team in a manner expected of a professional engineer. (M16)
6. To work on a given control problem and use analytical skills to solve this complex technical problem
(M12)

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion12:002:00Final Exam in Assessment Period
Structured Guided LearningLecture materials320:4021:20Pre-recorded videos of 20-mins (each), replacing some lecture material – 20 minutes
Guided Independent StudyAssessment preparation and completion126:0026:00Revision for final exam
Guided Independent StudyAssessment preparation and completion32:006:001x2hr per week formatively assessed online NUMBAS tutorial from second week onwards
Scheduled Learning And Teaching ActivitiesLecture82:0016:002x2hr lectures per week over 4 weeks
Guided Independent StudyAssessment preparation and completion110:0010:00Revision for online NUMBAS tutorial
Guided Independent StudyAssessment preparation and completion13:003:00A formatively assessed NUMBAS exercise during the second teaching week.
Guided Independent StudySkills practice44:3018:00Reading activity to supplement knowledge of material taught in each week
Scheduled Learning And Teaching ActivitiesSmall group teaching41:004:00Tutorial and Q&A session every week.
Guided Independent StudyProject work115:4015:40Simulate, analyse and present results in a group report as part of the coursework submission.
Scheduled Learning And Teaching ActivitiesWorkshops43:0012:003hr exercises per week over four weeks in computer labs
Guided Independent StudyStudent-led group activity112:0012:00Working as a team to develop models and algorithms for the coursework exercise.
Guided Independent StudyIndependent study154:0054:00Reviewing lecture notes; practising with computer simulation models; general reading
Total200:00
Teaching Rationale And Relationship

Lectures provide core material, worked examples, and guidance for further reading.

Computer based learning exercises reinforce the lecture content and provide an opportunity for students to develop industry related simulation and modelling skills.

Drop-in surgeries used for Q&A and interactive discussions on student-proposed topics.

Reading Lists

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination1201A75Closed-book exam during the assessment period
Other Assessment
Description Semester When Set Percentage Comment
Design/Creative proj1M252500 words Group Coursework - Design and simulation project – Simulation of the control of a dc motor and PMSM drives. Task to be set in week 1 – report submission in week 4
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Digital Examination1MNUMBAS mid-term assessment.
Assessment Rationale And Relationship

The written examination provides an opportunity for students to demonstrate their ability to solve engineering problems on electric drive. Knowledge outcomes 1 – 3, 5, 6 (AHEP M1, M2, M5) and skills outcomes 3 and 4 (AHEP M3, M16) are assessed.

The coursework allows students to demonstrate their analytical and problem-solving skills to develop fully functioning control algorithms for electric drives. It assesses knowledge outcome 4 (AHEP M3) and skills outcomes 1, 2, 5, and 6 (AHEP M1, M2, M7, M12, and M16).

Formative assessment and web-based tutorial encourage students to think independently and critically. Solutions to problems are subsequently provided to close the feedback loop

Timetable

Past Exam Papers

General Notes

Original Handbook text:

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Disclaimer

The information contained within the Module Catalogue relates to the 2025 academic year.

In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.

Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, staffing changes, and student feedback. Module information for the 2026/27 entry will be published here in early-April 2026. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.