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AERO4701: Space Engineering
Advanced Avionics System (University of Sydney)
This Unit of Study (UoS) aims to teach the fundamentals of avionics system for the
spacecraft /aircraft fields. In particular the focus is on developing
an understanding of:
- The concept of avionics design from aerospace mission requirements;
- The principle of avionics subsystem and their architectures;
- Inertial navigation algorithms which provide information about
the position, velocity and attitude of aerospace vehicles;
- The concept of multi-sensor aided inertial navigation system,
and how aiding sensors can be combined to errors in inertial navigation
systems; and
- The principles of various aiding systems including the Global
Navigation Satellite System (GNSS), air-data system (ADS), star/sun/earth
tracking sensors, magnetometers and their impact on aerospace navigation
systems.
Lecture Notes
- lect-intro.pdf
- lect-subsystem.pdf
- lect-orbit.pdf
- lect-ins1.pdf
- lect-ins2.pdf
- Attitude (Other readings: INS_Kim.pdf, SKIRU.pdf)
- lect-ins-details.pdf
- lect-ins-error.pdf
- lect-gps1.pdf
- lect-gps2.pdf
- lect-fusion1.pdf
- lect-fusion2.pdf
- lect-implement.pdf: Avionics H/W & S/W implementation + Inertial
sensor technology
Assignments
Assignment 1 will
focus on the development of inertial navigation equations based
on inertial measurement data set.
- pdf files:assign1.pdf
- Data set:imu_pva.zip (IMU.txt, PVA.txt)
Assignment 2 focus
on the implementation of GPS navigation based on pseudorange measurements.
- pdf files: assign2.pdf
- Data and M-file: assign2.zip
- others: plot_azel.m (for sky plot) , Errata.pdf, GPS
SPS signal specification.pdf
- Note1) For Q.3 please use
the true clock bias (RcvClockBias.mat)
- Note2) Check the Summary for
GPS processing (GPS_Summary.pdf)
Assignment
3 is to implement a real-time navigation system on the simulated
spacecraft platform which has 3-axis degree-of-freedom.
Note) Due to lab-moving and safety issues, the rate-table can
not be accessed. The third assignment is change to implement
GPS/INS fusion filter.
- pdf files: assign3.pdf
- data set: IMU_GPS_PVA.mat (same as assign1 except added noises)
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