Multi-disciplinary multi-objective design optimization of sounding rocket fins


In this study we carry out multi-disciplinary multi-objective optimization of a solid fin for sounding rocket by considering its (i) aerodynamic performance in terms of static aerodynamic stability and drag, (ii) structural performance in terms of torsional deflection and factor of safety (FOS), and (iii) flight performance in terms of peak altitude (PA) and maximum payload capability for given propulsion system characteristics. Four different fin design optimization problems have been studied:(i) maximize PA of the sounding rocket and maximize aerodynamic static margin, (ii) maximize PA and maximize payload mass, (iii) maximize PA and minimize tip torsion angle of the fin, (iv) maximize PA and maximize FOS. In all of these optimization problems, essential aerodynamic and structural constraints have been satisfied. Multi-objective optimization has been used to get the Pareto-optimal front of the conflicting objectives. It is seen that all the four design problems have conflicting objectives. The study gives insight into the optimal fin configuration variables and effect of active constraints.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26
Fig. 27
Fig. 28
Fig. 29
Fig. 30
Fig. 31
Fig. 32
Fig. 33
Fig. 34
Fig. 35
Fig. 36
Fig. 37
Fig. 38
Fig. 39
Fig. 40
Fig. 41
Fig. 42
Fig. 43
Fig. 44
Fig. 45
Fig. 46


  1. 1.

    Keane, A., Nair, P.: Computational Approaches for Aerospace Design: The Pursuit of Excellence. John Wiley & Sons, Chichester (2005)

    Book  Google Scholar 

  2. 2.

    Adimurthy, V., Ramanan, R.V., Priyadarshi, P.: Optimization in Aero Space Dynamics. ISRO Publication, Bangalore (2013)

    Google Scholar 

  3. 3.

    Barbosa, A.N., Guimarães, L.N.F.: Multidisciplinary design optimization of sounding rocket fins shape using a tool called MDO-SONDA. J. Aerosp. Technol. Manag. 4(4), 431–442 (2012)

    Article  Google Scholar 

  4. 4.

    Priyadarshi P., Mittal S.: Multi-objective multi-disciplinary design optimization of a semi-ballistic reentry module, 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference, Fort-Worth, USA, AIAA-2010-9127 (2010)

  5. 5.

    Alam M., Saroha K., Priyadarshi P.: Multi-disciplinary multi-objective optimization of solid fins for sounding rocket, Proceedings of ASET-2014, Trivandrum, India, 13, 14 June 2014

  6. 6.

    NASA Sounding Rocket Program Handbook, June (2005)

  7. 7.

    CDROC User Manual, Aero Entity, VSSC

  8. 8.

    Weiland, C.: Computational Space Flight Mechanics, Broomhead. Springer, Berlin (2010)

    Book  Google Scholar 

  9. 9.

    Kalyanmoy D., Pratap A., Agarwal S., Meyarivan T. A. M. T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. Evolutionary Computation, IEEE Transactions on 6, No. 2 182–197 (2002)

  10. 10.

    Buhmann, M.D.: Radial Basis Functions: Theory and Implementations. Cambridge University Press, New York (2003)

    Book  Google Scholar 

  11. 11.

    Broomhead, D.S., Lowe, D.: Multivariable functional interpolation and adaptive networks. Complex Syst. 2, 321–355 (1988)

    MATH  MathSciNet  Google Scholar 

Download references


We are doing this work under Vyom-II Sounding Rocket Project of IIST. We are thankful to ADSD, VSSC for providing the analytical tools to perform the aerodynamic analysis. We are very thankful to the computer system group of IIST for providing timely support during this work.

Author information



Corresponding author

Correspondence to Pankaj Priyadarshi.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Priyadarshi, P., Alam, M. & Saroha, K. Multi-disciplinary multi-objective design optimization of sounding rocket fins. Int J Adv Eng Sci Appl Math 6, 166–182 (2014).

Download citation


  • MDO
  • Sounding rocket
  • Design optimization