Introduction
Due to their relative low cost and fast turn-around time (from contract to launch), micro and mini-satellites have steadily gained in popularity since the early eighties. In the past, they have provided an affordable access to space for many small countries such as Portugal, Chile and Korea, and new applications for their use emerge every year.
A core
system for most satellites, whether large or small, is the Attitude Determination and Control System (ADCS), which carries out such tasks as the pointing of the satellite, and the stabilisation of its rotation. In micro-satellites the ADCS is affected by the same trade-offs as the other systems, resulting in less powerful sensors and actuators due to cost and size/weight criteria. Hence, there is the need for adequate control strategies which consider this trade-off.
On September 26 1993, an Ariane-4 rocket launched PoSat‑1, a 50-Kg micro-satellite built by the University of Surrey's Spacecraft Engineering Research Group and Surrey Satellites Technology Limited. This technology demonstration satellite was built for a Portuguese consortium of industry and academia of which IST of Lisbon Technical University and UBI were part. At the time, neither of these two universities played a major part in the
definition of the satellite, and especially, in the design of the ADCS.
In 1997,
Instituto Superior Técnico (IST) and
Universidade da Beira Interior (UBI) obtained funding for a three-year research project in stabilisation and control of small satellites so as to develop a national group with expertise in ADCS.
Project ConSat
ConSat aims at the study of the dynamics of bodies under the influence of gravitational, aerodynamic and control moments in the particular case of small satellites. The work carried out includes the development of new approaches to the attitude control of small satellites.
The project team includes of eleven researchers and graduate students from the two Portuguese universities involved and has promoted multiple contacts with European universities working on small satellites, such as the University of Surrey (United Kingdom) and Aalborg University (Denmark, with the help of the ESF COSY programme).
The first year of the project (second half of 1997 and first half of 1998) was dedicated to the study of the satellite’s dynamics and the development of an attitude sensor environment simulator, described in the following chapter. The second year of the project is being
dedicated to the development, implementation and test of multiple attitude control algorithms and of a attitude determination strategy.
ConSat Simulator
The ConSat simulator reproduces the environment as perceived by the ADCS by modelling all quantities which the satellite senses and with which it interacts. Since small-satellites are typically in Low Earth Orbit (LEO), the preferred attitude actuators are those which generate a magnetic momentum that interacts with Earth's geomagnetic field, thus generating a momentum that rotates the satellite. Small gas jets are also becoming an option for this class of satellites.
PoSAT-1 was used as a case study for the ConSat simulator. This satellite’s ADCS is composed of two single-axis sun-sensors, two earth horizon sensors,
one Earth underneath detector, two sun detectors, one (non functional) star sensor, two three-axis magnetometers, one mass tipped boom and three one axis magnetorquers. PoSAT-1’s on-board computer is based on an INTEL 80C186 processor running at 8 MHz with 512 Kbytes of RAM, interfacing with a 16 Mbytes RAMDISK. Its secondary computer is based on an INTEL 80C188 processor running at 8 MHz with 512 Kbytes RAM.
Future versions of the simulator will be able to simulate different micro-satellites (such
as the Danish micro-satellite, Ørsted), depending on the satellite configuration file used that describes the satellite’s ADCS, based on the set of sensors and actuators available in the simulator.
Using Simulink, the sensors' and actuators' model blocks are combined with a user‑defined attitude determination and control algorithm block and the output of the simulation is simultaneously saved to file and presented to the user using the simulator's graphical interface (see Fig. 1).
Fig. 1- ConSat Simulator Graphical Interface
Models Used
To simulate the evolution of the satellite attitude motion and the time-varying behaviour of all the sensors, several models had to be implemented, as depicted in Fig. 2.
Fig. 2 - ConSat Simulator Block Diagram
The attitude motion of the satellite is modelled by the Euler equations for the motion of a rigid body under the influence of external moments, such as the control moment generated by the actuator. The simulation of the actuator (a magnetorquer) requires the use of a geomagnetic field model and the calculation of the satellite position using an orbit model.
The simulation of sensors modelled requires the knowledge of the magnetic field vector (for the magnetometer) and the position of the Sun and Earth as seen from the satellite (for the Sun and Earth horizon sensor). One of the main control problems faced here is the fact that, besides being noisy, the information provided by the Sun and Earth sensors is not always available, depending on the relative
positions of the satellite, Sun and Earth.
Fig. 3 - Satellite Attitude Dynamics Block Diagram (expanded from Fig. 2)
In this simulator the kinematics (see Fig. 3) is expressed in quaternions (also known as Euler symmetric parameters), through the integration of the angular velocities provided by Euler’s equation (Wertz, 1995).
Five different reference co-ordinate systems (CS) are employed in this work:
Inertial (ICS): 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)
is a right orthogonal CS centred on Earth's CM that is fixed (doesn't rotate with Earth).
![](data:image/png;base64,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)
is along the vernal equinox (1
st point of Aries , or the vector along the line passing Earth's and the Sun's CM on the last day of autumn, pointing away from the Sun).
![](data:image/png;base64,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)
is along the spin axis of the Earth and points from south to north and
![](data:image/png;base64,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)
complements this right orthogonal CS.