ไทยTH
UAT 311 · 3(3-0-6) · Year/term 1/1

Advanced Unmanned Aircraft Systems Technology and System Architecture

เทคโนโลยีระบบอากาศยานไร้คนขับขั้นสูงและสถาปัตยกรรมระบบ

Progress
Notional hours: 135 h (online/self-study 90 · in class/lab 45)

Course description

advanced UAS architectures, system-of-systems concepts, modular design, airframes and propulsion, power systems, autopilots, navigation, command and control communications, payloads, redundancy, reliability, interoperability, and system-level performance analysis

Thai description

สถาปัตยกรรมระบบอากาศยานไร้คนขับขั้นสูง แนวคิดระบบของระบบ การออกแบบเชิงโมดูล โครงสร้างและระบบขับเคลื่อน ระบบพลังงาน ออโตไพลอต ระบบนำร่อง ระบบสื่อสารและควบคุม อุปกรณ์บรรทุกภารกิจ ความซ้ำซ้อน ความน่าเชื่อถือ การทำงานร่วมกันของระบบ และการวิเคราะห์สมรรถนะเชิงระบบ

Description source: Curriculum draft (revised 28 Sep 2026)Previous site code: DRT 341

Course learning outcomes (CLO)

CLOOutcomePLO
CLO1Analyse advanced UAS system architecturesPLO1PLO2
CLO2Evaluate and select subsystems against mission requirementsPLO2PLO5
CLO3Explain UAS technology trendsPLO1PLO6

Learning modules

1UAS system architecture
Weeks 1–3 · 27 hLesson 80 minquiz2 KU

Online (before class) · 18 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 9 h

Lecture, case discussion and in-class problem solving

Learning evidence: Quiz results and submitted exercises

Open module + quiz
2Power and propulsion
Weeks 4–6 · 27 hLesson 85 minquiz2 KU

Online (before class) · 18 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 9 h

Lecture, case discussion and in-class problem solving

Learning evidence: Quiz results and submitted exercises

Open module + quiz
3Control, navigation and communication
Weeks 7–9 · 27 hLesson 90 minquiz2 KU

Online (before class) · 18 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 9 h

Lecture, case discussion and in-class problem solving

Learning evidence: Quiz results and submitted exercises

Open module + quiz
4Payloads and integration
Weeks 10–12 · 27 hLesson 85 minquiz2 KU

Online (before class) · 18 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 9 h

Lecture, case discussion and in-class problem solving

Learning evidence: Quiz results and submitted exercises

Open module + quiz
5Technology trends
Weeks 13–15 · 27 hLesson 80 minquiz1 KU

Online (before class) · 18 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 9 h

Lecture, case discussion and in-class problem solving

Learning evidence: Quiz results and submitted exercises

Open module + quiz

Assessment (draft)

Quizzes and exercises20%
Midterm examination30%
Final examination40%
Participation and discussion10%

Knowledge domain

D03 Electrical, electronics and power systemsD04 Sensors and embedded systemsD05 Aircraft, structures and designD06 Control, autopilot and navigationD07 Communications, networks and IoTD08 Mission planning, flight and simulationD10 Installation, maintenance and testingD13 Surveying, mapping and geoinformaticsD14 Inspection, industry and surveillanceD18 Management, innovation and professional practice

Key references

  1. Fahlstrom, P. G., Gleason, T. J., & Sadraey, M. H. (2022). Introduction to UAV systems (5th ed.). Wiley. link
  2. Austin, R. (2010). Unmanned aircraft systems: UAVS design, development and deployment. Wiley. link
  3. INCOSE. (2023). INCOSE systems engineering handbook: A guide for system life cycle processes and activities (5th ed.). Wiley. link