On the application of particle swarm optimization in minimum time launch vehicle trajectory optimization problem

Aditya Chowdhury, Vishnu G. Nair

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The application of Particle Swarm Optimization (PSO), in solving minimum time trajectory optimization problem, studied in this paper. The ascent phase of a launch vehicle trajectory is considered, due to its highly nonlinear nature. It is one of the challenging problems in optimization scenario. Achieving the target in minimum time and error, satisfying all the constraints is the major objective. A highly nonlinear complex system, launch vehicle, is considered with the control parameter as its angle of attack. It is proved that, PSO approach outperforms other such type of optimization, procedures in trajectory optimization scenario, by providing better accuracy. The numerical results are evaluated, analyzed and presented in a MATLAB simulation environment.

Original languageEnglish
Pages (from-to)359-366
Number of pages8
JournalInternational Journal of Mechanical and Production Engineering Research and Development
Volume7
Issue number5
DOIs
Publication statusPublished - 31-10-2017

Fingerprint

Launch vehicles
Particle swarm optimization (PSO)
Trajectories
Angle of attack
MATLAB
Large scale systems

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

Cite this

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On the application of particle swarm optimization in minimum time launch vehicle trajectory optimization problem. / Chowdhury, Aditya; Nair, Vishnu G.

In: International Journal of Mechanical and Production Engineering Research and Development, Vol. 7, No. 5, 31.10.2017, p. 359-366.

Research output: Contribution to journalArticle

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