Transcript File
Power System Architecture for Qatar University Cubesat (Phase II)
Abdelrhamn Abdalla, Abdallahi Ahmed, Abdulrahman Hussein and Moumen El-Hassan
Supervisors: Dr. Atif Iqbal & Dr. Ahmed Massoud
Qatar University
Department of Electrical Engineering, College of Engineering
Spring 2015
Abstract
The role of the power supply architecture of Qatar University Cubesat is supplying all the satellite subsystems by their power requirements. The architecture composes from different stages including power generation, storage and finally distribution. Different MPPT
(maximum power point tracking) algorithm has been studied and compared with Perturbed &Observed (P&O) method that is designed by previous group, to compare the response of each technique under different conditions. in this project a new class of solar PV
with three junctions is used. A prime mathematical model for triple junction PV has been developed and simulated under the effect of different parameters. H∞based closed-loop control is designed to control DC-DC converters and the design has been studied in
terms of transient overshoot and steady state error and the results shows that how robust is the controller and it shows that it is the perfect choice for the CubeSat application.
Introduction
Mission Statement
Qatar university Cubesat (Qubesat) mission is to map and observe the
current waste disposal sites in Qatar and search for the illegally
disposed waste in the desert. To achieve that, a camera will be
attached to the Cubesat to capture images of the desired sites.
Background
To achieve this goal, the technical aspects of the project are performed
through five different systems. The division is illustrated below.
The system configuration for the On-Board Electric Power Supply
System (OBEPSS) can be well visualized as illustrated in figure 1
Parameter
Value
InGaP Short Circuit Current ISC1
13.78 mA/cm2
GaAs Short Circuit Current ISC2
15.74 mA/cm2
Ge Short Circuit Current ISC3
20.60 mA/cm2
STC Irradiance GSTC
0.1W/cm2
STC Temperature TSTC
298 K
InGaPBandgap Energy
1.86eV
GaAsBandgap Energy
1.40eV
GeBandgap Energy
0.65eV
Cell Area
0.2663 cm2
Ideality Constant for all cells
2
Gamma γ (Sharp Cell)
2
Series Resistance
0.0134Ω
1 for
cell 1α
5.771X10-4
2 for
cell 2α
5.405X10-4
3 for
cell 3α
4.774X10-4
Beta Constant β1 (Cell 1)
372
Beta Constant β2 (Cell 1)
204
Beta Constant β3 (Cell 1)
235
Figure 3. Neural Network Training Regression
Table 2: Data used to test the network and output results
Simulation Results
temp C
39.8
42.9
Irr. W/m2
868
1066.6
expected output voltage
(V)
32.12
28.03
Output from ANN (V)
31.9
I-V Curve of Triple Junction
P-V Curve of Triple Junction
35
15
10
5
Power W/cm2
30
InGaP
GaAs
Ge
25
15
10
InGaP
GaAs
Ge
5
0
0
0.5
1
1.5
Voltage (V)
(a)
2
2.5
0
0
0.5
1
1.5
Voltage (V)
2
29
(b)
Figure 2. (a) I-V (b) P-V Curve for triple junction
matched current density
Experimental setup
29.45
Controller Rejection
2.5
28
27
26
25
24
23
9.06 9.08 9.1 9.12 9.14 9.16 9.18 9.2 9.22 9.24
4
-4
Time(10 s)
x 10
Figure 4. H-∞Controller Response
Figure 1. Hardware Overview of the power supply of the Cubesat
Conclusion
The power supply architecture of the Cubesat was
designed. Single PV solar panel has been modeled
and simulated under different real space conditions
including soft and hard shading. In addition to that, a
primary modeling of triple junction PV solar panel has
been done and simulated for various parameters such
as irradiance and temperature. This is one of the major
contributions of phase II. No such model is available in
the literature and hence this is the novelty of the work.
Results of triple junction model were compared to the
results and data provided by Space Clyde to Qatar
University and, it shows that the model is an
appropriate one. For the maximum power point
tracking, different algorithms studied including P&O
which is modeled and tested during phase I and the
conclusion of this comparison study is that ANN MPPT
algorithm has fast and stable response compared to
P&O algorithm. Based on this MPPT using ANN
algorithm has been done for simulated data and
practical readings. Moreover, H-∞ based closed-loop
control is designed to control DC-DC converters and
the design has been studied in terms of transient
overshoot and steady state error and the results shows
that how robust is the controller and it shows that it is
the perfect choice for the CubeSat application.
Future work
20
Amplitude(mV)
System Overview
Table 1: Simulation Parameters of triple junction
Current Density mA/cm2
The OBEPSS is responsible for delivering the power required to power
the satellite efficiently. This process involves power generation through
photovoltaic panels, power storage, power control, and power
distribution to on board loads.
The MECHS is responsible for designing the structure that houses the
satellite equipments and protects it against vibration and extreme
thermal changes in the low earth orbit (LEO).
The COMS is responsible to assure a reliable communication (Uplink
and Down-link) between the satellite and the ground station.
The ACS is responsible for adjusting the position of the Cubesat
The GSS is responsible for controlling the satellite and reviving the
health of it in the space. In addition it receives the required data to
achieve the mission of the satellite.
Practical Result
Simulation Parameters of triple junction
Inphase III, Implementation is the main task to be
done, starting from the converters designed and
simulated in phase II and, going through tests of
these converters with the triple junction as input.
MPPT using ANN has been done and results can
be used to design the MPPT converter.
For more advanced power system, single input
single output converters can be exchanged with
single input multi output converter which will
decrease the space needed for the converters in a
significant way.
Acknowledgements
The authors would like to thank their supervisors
Dr. Atif Iqbal and Dr. Ahmed Massoud and the
Department of Electrical Engineering in Qatar
University. In addition, the authors would like to
express their gratitude toward both Dr. Nader
Meskin and Eng. Ben Pratheesh for their Help.