Transcript Folie 1 - منظمة المجتمع العلمي

© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
Idea by: Dr. Eng. Mohamed Zayan
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Spacecraft Control Using Adaptive Neural-Network
Predictive Controllers (ANNPC) and GNSS Signals
 This idea makes use of Adaptive Neural-Network Predictive
Controllers (ANNPC) in conjunction with GNSS signals to
control the orbit and attitude of any type of Earth orbiting
spacecraft.
 The simulation models we have developed demonstrate that
one can implement an orbital control system for spacecraft by
combining ANNPC with input state vectors generated from
GNSS signals received on board.
 The key advantage of using ANNPC is that it does not require
highly accurate and costly dynamic models for specific
spacecraft to enable orbital and attitude prediction and control
for every new spacecraft design
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
Idea by: Dr. Eng. Mohamed Zayan
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Spacecraft Control Using Adaptive Neural-Network
Predictive Controllers (ANNPC) and GNSS Signals
 Instead, a generic ANNPC algorithm can be developed and
trained to learn the orbital and AOCS dynamics of spacecraft
during their preoperational and operational phases.
 The simulations have demonstrated that using such a system
optimizes spacecraft thrust forces, thus reducing fuel
consumption and prolonging missions by more than 30%.
 By using ANNPC-GNSS, it is possible to reduce, or even
eliminate, the reliance on ground control station (GCS)
telemetry and ranging and tracking antenna (TTAC) systems
(TTAC accounts for up to 50% of GCS costs).
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
Idea by: Dr. Eng. Mohamed Zayan
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Technical description
Autonomous Spacecraft Control- using GNSS signals
EARTH
GEO with
ANNPC-GNSS
Diagram
Acknowledgment
A. Garcia-Rodriguez
GNSS-SSV`
ICG WG-B, Vienna
06/06/2012
LEO with ANNPC-GNSS
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
Idea by: Dr. Eng. Mohamed Zayan
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Technical description
Autonomous Spacecraft Control- using GNSS signals
EARTH
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
Idea by: Dr. Eng. Mohamed Zayan
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Technical description
Autonomous Spacecraft Control- using GNSS signals
Spacecraft Control Using Adaptive Neural Networks Predictive Controllers (ANNPC) and GNSS
 The ANNPC simulation model which, has been developed, demonstrated that one can
implement an efficient onboard AOCS and orbital control system for a spacecraft in
LEO, and GEO by combining ANNPC with input state vectors generated from the
onboard received GNSS signals.
 The key feature of using ANNPC is that it is not necessary to developed highly
accurate, thus complex, specific dynamic spacecraft models to enable orbital and
attitude prediction and control for every new type of spacecraft design
 Instead, a generic ANNPC algorithm can be developed which can be trained to learn
the orbital and AOCS dynamics of the satellite during the pre-operational and
operational phase of the spacecraft ranging.
 This will enable the design and production of cost effective autonomous spacecrafts
with highly efficient operational resource management.
 The AANPC combined with GNSS accuracy will have the capability to cancel the
systematic and random errors in the measurements thanks to the adaptive characteristic
of the Neural Network, and predictive control capability this preventing any abrupt
behaviour due the measurement spurious errors present in traditional methods.
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
Idea by: Dr. Eng. Mohamed Zayan
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Technical description
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
Idea by: Dr. Eng. Mohamed Zayan
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Business case
 The target market is aerospace industry. However, the nature of the proposed
ANNPC-GNSS system means that it can easily be ported to other applications
requiring automated and autonomous navigation.
 The generic ANNPC-GNSS solution will enable the cost effective design and
production of different types of autonomous spacecrafts Orbital and AOCS
systems without the need to resort to costly and time consuming generation of
advanced flight dynamic modeling required by traditional methods.
 The ambiguity resolution in position measurement using traditional TTAC
ranging is around 1000 meters, compared to the ambiguity when using GNSSr,
which is expected to be around 1 meter.
 The maneuver efficiency shall be improved by at least 30 % thanks to high
accuracy GNSS measurements, and ANNPC robustness. Which would
translate to an equivalent saving in fuel.
 Cost savings in the ground station side can be achieved by removing the need
for a TTAC antenna and associated ranging system which contribute to at least
50% of the cost of the ground station.
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
Idea by: Dr. Eng. Mohamed Zayan
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Current status
 The Idea is simulated and tested in mathematical simulation model in model
based design engineering model using MATLAB Package and Simulink.
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Orbits Design for Remote Sensing Satellite, Zayan, M.A.; Eltohamy, F. Aerospace Conference, 2008 IEEE ,
Satellite orbits guidance using state space neural network, Zayan, M.A. Aerospace Conference, 2006 IEEE ,
Resources minimization in the satellite navigation process Zayan. M.A., Aerospace Conference, 2006 IEEE
Satellite orbits control using adaptive neural networks predictive controllers (ANNPC), Aly, A.F.; Aly, M.N.;
Zayan, M.A. Aerospace Conference, 2003. Proceedings. 2003 IEEE,
Optimization techniques for orbit estimation and determination to control the satellite motion, Aly, A.F.; Nguib
Aly, M.; Elshishtawy, M.E.; Zayan, M.A, .Aerospace Conference Proceedings, 2002. IEEE
Book Title “Satellite Orbits Estimation, Determination, and Control”, Mohamed Zayan Lambert Academic
Publisher Germany, ISBN: 78-3-8433-6427-0,2010
 The innovator (Dr. Eng. Mohamed Zayan) submitted his idea as an individual
researcher with more the 15 years of experience in Aerospace industry and
research. He developed the original ANNPC concepts as part of his PhD work.
 In his current innovation he has adapted his algorithms to incorporate GNSS
data. He holds the position of Satellites Control Station Manager at
Nilesat -Egypt.
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
Idea by: Dr. Eng. Mohamed Zayan
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Requirements / Next steps
 It is very difficult to fully validate a spacecraft orbital and AOCS system on the ground.
The obvious solution is to produce a low cost spacecraft, such as a cube sat or mini-sat,
which incorporate a prototype system that can then be validated in space. Alternatively,
incorporate the ANNPC-GNSS system as a parallel implementation to a traditional system
on a planned satellite, where the prototype system can be tested, while the traditional
system can be used to safeguard against any unforeseen or problematic situations.
This would require:
 Transferring the simulation models into a embedded system target
software/firmware/hardware, an optimal combination will be selected.
 Develop engineering model using the above system in conjunction with a orbital
control simulation environment and realistic GNSS signals.
 Develop a cube-sat based flight model based on the above system. An estimated
fund of 600,000 € (not including launch costs) and 1.5y is expected for
developing, launching and in orbit validation.
 The possibility of developing a generic ANNPC-GNSS solution which can be
applied to any unmanned vehicle, other than spacecrafts would require additional
funding.
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
Idea by: Dr. Eng. Mohamed Zayan
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ArabMENA: Ulrike Daniels, Thorsten Rudolph,
Minister Dr Wolfgang Heubisch and Dr Mohamed Zayan
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
25/26 September 2012
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Thank You
Questions are welcomed
Dr. Mohamed Ahmed Zayan
002 012 239 42832
[email protected]
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen
Idea by: Dr. Eng. Mohamed Zayan
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