Aeronautical Engineering (MEng)
From aircraft autopilots to satellite communications to re-usable space rockets, mechatronic systems are everywhere in aeronautical engineering. This course aims to give a fundamental grounding in the theory and practice of mechatronic systems relevant to aeronautics, including data acquisition systems, sensors, actuators and control systems.
On successfully completing this module, you should be able to:
1. Design and build simple prototype circuits containing basic electronic components, including voltage and current sources, resistors, capacitors, inductors, and operational amplifiers.
2. Analyse and compute the time and frequency response of simple circuits through application of fundamental network theorems.
3. Analyse and characterise signals and linear systems using various transform methods.
4. Break down a complicated engineering design, such as an electric circuit, data acquisition system, or DC actuator, into a system of interconnected subsystems.
5. Demonstrate an understanding of the fundamentals of data acquisition systems and sensors and their application to sampling and acquisition of real-world physical signals.
6. Specify, implement and evaluate basic data acquisition and control systems.
7. Analyse simple DC actuators and motors and associated controllers.
•Electrical Circuits: Voltage and current sources, resistors, capacitors, inductors and potential dividers. Kirchhoff's laws. Series and parallel laws. Principle of superposition.
•Circuit Analysis: Thevenin and Norton equivalence theorems. Resistance matching. Nodal circuit analysis.
•Amplifier Circuits: Ideal operational amplifiers (op-amps), inverting and non-inverting op-amp circuits, summing amplifier, unity gain buffer, integrator circuit.
•Frequency Response: Frequency response diagrams (Bode plots).
•Response of Electrical Circuits.
•Transfer functions and their use in characterising LTI systems. Initial- and Final-Value theorems. Pole-zero diagrams and their relation to Fourier transforms.
•Filters. Filter design. Real vs ideal filters, application to discrete data, windowing, moving average, other common filter windows.
•Data Acquisition: Fundamentals of a DAQ system, sampling, Nyquist limit, Anti-aliasing, Analog to Digital Conversion, Digital to Analog Conversion, Introduction to Labview
•Sensors: Potentiometers, optical encoders, strain measurement, pressure transducers, temperature sensors.
•Actuators: Solenoids, DC motors, DC motor control.
This module presents opportunities for both formative and summative assessment.
You will be formatively assessed through progress tests and tutorial sessions.
You will have additional opportunities to self-assess your learning via tutorial problem sheets.
You will be summatively assessed by a written closed-book examination at the end of the module as well as through practical laboratory assessments and online assignments.
|Assessment type||Assessment description||Weighting||Pass mark|
|Coursework||Peer Assessed Poster||5%||40%|
1st ed. 2020., Cham : Springer International Publishing : Imprint: Springer
2nd, CRC Press
Cambridge, Massachusetts : MIT Press; Piscataqay, New Jersey : IEEE Xplore
1st ed. 2021., Springer International Publishing
Springer International Publishing AG
Second edition., Prentice Hall