Aerospace Systems Team Design Project M ENG5012
- Academic Session: 2026-27
- School: School of Engineering
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 2
- Available to Visiting Students: Yes
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
This project gives students experience of the design architecture and process, trade-offs and team work required to design a flight control system for a tethered helicopter uav. The team should create a mathematical model of the vehicle, design controllers and evaluate their performance.
Timetable
Weekly meetings with supervisor. Weekly meetings as a team without supervisor.
Requirements of Entry
Mandatory Entry Requirements
None
Recommended Entry Requirements
None
Excluded Courses
None
Co-requisites
None
Assessment
60% group final report (to be submitted at final presentation), weighted by self-assessment contribution from each student within the team.
10% group final presentation), weighted by self-assessment contribution from each student within the team.
30% technical performance of team, weighted by contribution of each student based on individual time sheets agreed at regular meetings and self-assessment of each team members' contributions.
Course Aims
The aims of this course are to:
■ introduce students to the practical issues involved in a team design project;
■ enable students to implement their knowledge within an Aerospace Systems based team design project;
■ introduce students to project management and team building aspects for such a project.
■ Introduce students to the issues of managing a team of undergraduate students undertaking a similar project where appropriate.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ develop a mathematical model and simulation of a tethered helicopter UAV;
■ design feedback control algorithms to control the motion of the vehicle;
■ design an integrated system for autonomous flight control operations;
■ evaluate and refine the algorithms;
■ select and assess the relative performance of the controllers;
■ develop a practical project plan from requirements capture to test & validation;
■ employ project management concepts including costing of the activities and time/resource management as a member of a team and present your findings.