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Polytechnic University of Valencia (UPV)
Jose A. Moraño
Santiago E. Moll
Luis M. Sanchez-Ruiz
Nuria Llobregat-Gómez
TEEM’15 Porto
Orbital Mechanics
via a
Simulation-based learning
 Master in Aeronautical Engineering started at UPV in 2014/15.
 ‘Orbital Mechanics and Guidance Laws’ is a compulsory subject of second
semester. Two blocks: OM & GL.
 In OM block there are lots of contents: Astronomy concepts, orbital motion of
satellites and celestial bodies as well as maneuvers between them in space.
 Only 2 ECTS for this block (1 T; 0.5 CP; 0.5 LP)
7 weeks with two sessions (90’)
Every week: 1 session by a magister class and 1 session combining CP and LP
 To improve the learning skills of students we have applied a simulation-based
learning model for CP+LP sessions.
 We seek with these simulations the effect 'doing and understanding’.
2
Introduction
 Software used is System Tool Kit
– STK10 by AGI
– Free for some types of simulations
 We present here
– The way in which we have integrated this software in CP+LP sessions of OM
– Several examples from in-class work-simulations
– Grades/results obtained by students
– Students opinion about the OM learning with simulations
3
Introduction
4
Method and Tools
• Binding CP and LP facilitates to develop this active methodology by performing
simulations by STK10
• The process:
- The previous week of a CP+LP session and after the theoretical exposition
some questions are proposed (in this way students prepare and meditate
the new concepts, equations and formulas).
- The day of the session an educational platform is used to do an
assessment with a double purpose:
- Reviewing topics already covered
- Serving as a guide for students to achieve the expected competences.
- They use a CAS (Matlab or Mathematica) and STK10
5
To review and understand theoretical concepts
• We propose the creation of a scenario with several satellites using
‘Define Properties’ to enter their elements.
• We provided them the steps to activate the
movement of the simulation in 2D and 3D.
• They can distinguish between different types
of orbits according to their orbital elements.
6
To review and understand theoretical concepts
• In the 2D window they can understand the concept of ‘Ground Track’ and
the influence of the satellite elements in this reprensentation
7
To do simulations for long periods of time
• Some theoretical concepts seem less important a priori because they are not
perceived in real-time simulations but performing simulations for long periods of
time become very remarkable. For example, Sidereal day  Civil day.
- Students have to insert two geostationary satellites but they must modify the period of one
of them to 24 hours.
- For short period of simulation both of satellites seem geostationary, but then, they are
encouraged to animate the simulation for a long period.
8
To do simulations with Real Objects
• STK10 allows using real objects from its database.
• Simulating with one of these objects, as the ISS, allow us to understand many of
the effects studied in theory such as the J2 effect (Earth-flattening) on the
movement of the ISS (Delay of the element  of the ISS)
9
To confirm good calculations
• To understand a special type of orbits (Molniya, Tundra,…) students learn, in the
theory-sessions, that the variation of the element  depends on i according to the
formula:
• So they are asked to calculate i for which the  = 0.
• Then, they are encouraged to run simulations with different values of i. So, they
can see how the effect J2 changes the position of the orbit if i  63.4º.
  revradi
p
R
C E
/1cos5
2
3 2
2
20 





 
10
To confirm good calculations
• To understand a special type of orbits (Molniya, Tundra,…) students learn, in the
theory-sessions, that the variation of the element  depends on i according to the
formula:
• So they are asked to calculate i for which the  = 0.
• Then, they are encouraged to run simulations with different values of i. So, they
can see how the effect J2 changes the position of the orbit if i  63.4º.
  revradi
p
R
C E
/1cos5
2
3 2
2
20 





 
11
To know types of reports and graphs
• Performing simulations to study if the coverage (studied in theory) of a group of
satellites over a region and a period of time is correct, is a very useful tool.
• With the simulations student has the ability to generate and analyze reports and
graphs of the coverage.
12
To Visualize orbit transfers
• With an adequate license it is possible to use the extra-package called Astrogator.
This package allows to simulate inter-orbital transfers.
• Without this package, students can not generate the simulations but the teacher
can use it in support of his explanations by using a free STK Viewer.
13
Grades
• Dropout rate is 2.2% (1/46) and the success rate is 95.7% (44/46), good numbers
even for a master course.
• It should be noted that the only student that did not take the exam only attended
the sessions during the first week.
Dropouts < 5 [5-7[ [7-9[ [9-10]
1 1 11 25 8
2.2 % 2.2 % 23.9 % 54.3 % 17.4 %
14
Students’ opinion
• After 7+7 sessions and the classroom assessment test, students are asked about
their opinions on the simulations used in OM.
• Poll was conducted anonymously using a tool from the UPV educational
platform.
• I consider using STK10 in CP+LP of OM is …
• Do you consider using a simulator orbits as STK10 helps to understand terms
and concepts of the lectures?
• Most of students consider using STK10 is essential for learning and helps them a
lot for understanding theoretical terms and concepts.
Expendable Advisable Indispensable NA
0 % 36 % 64 % 0 %
Nothing Little Enough Much NA
0 % 4 % 16 % 80 % 0 %
15
Conclusions and References
• Conclusions:
 During the 2014/2015 academic year Master in Aeronautical Engineering
started at UPV and with it the subject ‘Orbital Mechanics and Guidance Laws’.
 The subject has been divided into two blocks (OM+GL).
 7 weeks with two 90’-sessions: 1 T class and 1 combining CP+LP.
 The STK software has been integrated into the educational methodology of
the subject Orbital Mechanics.
 We have achieved the effect 'doing and understanding’.
 This integration has facilitated a Simulation-based learning boosting the
achievement of competences and skills of our students.
 Simultaneously it has linked theoretical content with real environment.
 The results obtained have been excellent with just one dropout.
 The opinion of the student has been very positive.
References
 Dörfler, W. 1993. Computer use and views of the mind. C. Keitel, K. Ruthven (Eds.), Learning from
computers: Mathematics, education and technology, Springer-Verlag, (1993), 159–186.
 Heid, M.K. and Blume, G.W. 2008. Technology and the development of algebraic understanding. M.K. Heid,
G.W. Blume (Eds.), Research on technology and the teaching and learning of mathematics: Research
syntheses, Vol. 1, Charlott, NC (2008), 55–108.
 Tall, D. 2000. Cognitive development in advanced mathematics using technology. Mathematics Education
Research Journal, 12, 3 (2000), 210–230.
 Principles and standards for school mathematics. 2000. National Council of Teachers of Mathematics.
Reston, VA (2000).
 Richards, D. and Taylor, M. 2015. A Comparison of learning gains when using a 2D simulation tool versus a
3D virtual world: An experiment to find the right representation involving the Marginal Value Theorem.
Computers & Education, 86, (2015), 157-171. doi:10.1016/j.compedu.2015.03.009
 Tiana, Y., Liu, H. Yin, J., Luo, M. and Wua, G. 2015. Evaluation of simulation-based training for aircraft
carrier marshalling with learning cubic and Kirkpatrick’s models. Chinese Journal of Aeronautics, 28, 1,
(2015), 152–163. doi:10.1016/j.cja.2014.12.002
 Tiwari, S.R., Nafees, L. and Krishnan, O. 2014. Simulation as a pedagogical tool: Measurement of impact on
perceived effective learning. The International Journal of Management Education, 12, 3, (2014), 260-270.
 Zbiek, R.M. and Hollebrands, K. 2008. A research-informed view of the process of incorporating
mathematics technology into classroom practice by in-service and prospective teachers. M.K. Heid, G.W.
Blume (Eds.), Research on technology and the teaching and learning of mathematics: Research syntheses,
1, (2008), 287–344.
16
17
Thanks!
Orbital Mechanics via a Simulation-based learning
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Orbital Mechanics via a Simulation-based learning

  • 1. 1 Polytechnic University of Valencia (UPV) Jose A. Moraño Santiago E. Moll Luis M. Sanchez-Ruiz Nuria Llobregat-Gómez TEEM’15 Porto Orbital Mechanics via a Simulation-based learning
  • 2.  Master in Aeronautical Engineering started at UPV in 2014/15.  ‘Orbital Mechanics and Guidance Laws’ is a compulsory subject of second semester. Two blocks: OM & GL.  In OM block there are lots of contents: Astronomy concepts, orbital motion of satellites and celestial bodies as well as maneuvers between them in space.  Only 2 ECTS for this block (1 T; 0.5 CP; 0.5 LP) 7 weeks with two sessions (90’) Every week: 1 session by a magister class and 1 session combining CP and LP  To improve the learning skills of students we have applied a simulation-based learning model for CP+LP sessions.  We seek with these simulations the effect 'doing and understanding’. 2 Introduction
  • 3.  Software used is System Tool Kit – STK10 by AGI – Free for some types of simulations  We present here – The way in which we have integrated this software in CP+LP sessions of OM – Several examples from in-class work-simulations – Grades/results obtained by students – Students opinion about the OM learning with simulations 3 Introduction
  • 4. 4 Method and Tools • Binding CP and LP facilitates to develop this active methodology by performing simulations by STK10 • The process: - The previous week of a CP+LP session and after the theoretical exposition some questions are proposed (in this way students prepare and meditate the new concepts, equations and formulas). - The day of the session an educational platform is used to do an assessment with a double purpose: - Reviewing topics already covered - Serving as a guide for students to achieve the expected competences. - They use a CAS (Matlab or Mathematica) and STK10
  • 5. 5 To review and understand theoretical concepts • We propose the creation of a scenario with several satellites using ‘Define Properties’ to enter their elements. • We provided them the steps to activate the movement of the simulation in 2D and 3D. • They can distinguish between different types of orbits according to their orbital elements.
  • 6. 6 To review and understand theoretical concepts • In the 2D window they can understand the concept of ‘Ground Track’ and the influence of the satellite elements in this reprensentation
  • 7. 7 To do simulations for long periods of time • Some theoretical concepts seem less important a priori because they are not perceived in real-time simulations but performing simulations for long periods of time become very remarkable. For example, Sidereal day  Civil day. - Students have to insert two geostationary satellites but they must modify the period of one of them to 24 hours. - For short period of simulation both of satellites seem geostationary, but then, they are encouraged to animate the simulation for a long period.
  • 8. 8 To do simulations with Real Objects • STK10 allows using real objects from its database. • Simulating with one of these objects, as the ISS, allow us to understand many of the effects studied in theory such as the J2 effect (Earth-flattening) on the movement of the ISS (Delay of the element  of the ISS)
  • 9. 9 To confirm good calculations • To understand a special type of orbits (Molniya, Tundra,…) students learn, in the theory-sessions, that the variation of the element  depends on i according to the formula: • So they are asked to calculate i for which the  = 0. • Then, they are encouraged to run simulations with different values of i. So, they can see how the effect J2 changes the position of the orbit if i  63.4º.   revradi p R C E /1cos5 2 3 2 2 20        
  • 10. 10 To confirm good calculations • To understand a special type of orbits (Molniya, Tundra,…) students learn, in the theory-sessions, that the variation of the element  depends on i according to the formula: • So they are asked to calculate i for which the  = 0. • Then, they are encouraged to run simulations with different values of i. So, they can see how the effect J2 changes the position of the orbit if i  63.4º.   revradi p R C E /1cos5 2 3 2 2 20        
  • 11. 11 To know types of reports and graphs • Performing simulations to study if the coverage (studied in theory) of a group of satellites over a region and a period of time is correct, is a very useful tool. • With the simulations student has the ability to generate and analyze reports and graphs of the coverage.
  • 12. 12 To Visualize orbit transfers • With an adequate license it is possible to use the extra-package called Astrogator. This package allows to simulate inter-orbital transfers. • Without this package, students can not generate the simulations but the teacher can use it in support of his explanations by using a free STK Viewer.
  • 13. 13 Grades • Dropout rate is 2.2% (1/46) and the success rate is 95.7% (44/46), good numbers even for a master course. • It should be noted that the only student that did not take the exam only attended the sessions during the first week. Dropouts < 5 [5-7[ [7-9[ [9-10] 1 1 11 25 8 2.2 % 2.2 % 23.9 % 54.3 % 17.4 %
  • 14. 14 Students’ opinion • After 7+7 sessions and the classroom assessment test, students are asked about their opinions on the simulations used in OM. • Poll was conducted anonymously using a tool from the UPV educational platform. • I consider using STK10 in CP+LP of OM is … • Do you consider using a simulator orbits as STK10 helps to understand terms and concepts of the lectures? • Most of students consider using STK10 is essential for learning and helps them a lot for understanding theoretical terms and concepts. Expendable Advisable Indispensable NA 0 % 36 % 64 % 0 % Nothing Little Enough Much NA 0 % 4 % 16 % 80 % 0 %
  • 15. 15 Conclusions and References • Conclusions:  During the 2014/2015 academic year Master in Aeronautical Engineering started at UPV and with it the subject ‘Orbital Mechanics and Guidance Laws’.  The subject has been divided into two blocks (OM+GL).  7 weeks with two 90’-sessions: 1 T class and 1 combining CP+LP.  The STK software has been integrated into the educational methodology of the subject Orbital Mechanics.  We have achieved the effect 'doing and understanding’.  This integration has facilitated a Simulation-based learning boosting the achievement of competences and skills of our students.  Simultaneously it has linked theoretical content with real environment.  The results obtained have been excellent with just one dropout.  The opinion of the student has been very positive.
  • 16. References  Dörfler, W. 1993. Computer use and views of the mind. C. Keitel, K. Ruthven (Eds.), Learning from computers: Mathematics, education and technology, Springer-Verlag, (1993), 159–186.  Heid, M.K. and Blume, G.W. 2008. Technology and the development of algebraic understanding. M.K. Heid, G.W. Blume (Eds.), Research on technology and the teaching and learning of mathematics: Research syntheses, Vol. 1, Charlott, NC (2008), 55–108.  Tall, D. 2000. Cognitive development in advanced mathematics using technology. Mathematics Education Research Journal, 12, 3 (2000), 210–230.  Principles and standards for school mathematics. 2000. National Council of Teachers of Mathematics. Reston, VA (2000).  Richards, D. and Taylor, M. 2015. A Comparison of learning gains when using a 2D simulation tool versus a 3D virtual world: An experiment to find the right representation involving the Marginal Value Theorem. Computers & Education, 86, (2015), 157-171. doi:10.1016/j.compedu.2015.03.009  Tiana, Y., Liu, H. Yin, J., Luo, M. and Wua, G. 2015. Evaluation of simulation-based training for aircraft carrier marshalling with learning cubic and Kirkpatrick’s models. Chinese Journal of Aeronautics, 28, 1, (2015), 152–163. doi:10.1016/j.cja.2014.12.002  Tiwari, S.R., Nafees, L. and Krishnan, O. 2014. Simulation as a pedagogical tool: Measurement of impact on perceived effective learning. The International Journal of Management Education, 12, 3, (2014), 260-270.  Zbiek, R.M. and Hollebrands, K. 2008. A research-informed view of the process of incorporating mathematics technology into classroom practice by in-service and prospective teachers. M.K. Heid, G.W. Blume (Eds.), Research on technology and the teaching and learning of mathematics: Research syntheses, 1, (2008), 287–344. 16
  • 17. 17 Thanks! Orbital Mechanics via a Simulation-based learning
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