Ascent phase trajectory optimization of launch vehicle using theta-particle swarm optimization with different thrust scenarios

M. V. Dileep, Surekha Kamath, Vishnu G. Nair

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Launch vehicle trajectory optimization has gained enormous significance in the recent past. Constraints handling and accuracy of launch vehicle system, are challenging factors, on account of their high degree of non-linearity. This paper brings in the application of thetaparticle swarm optimization (TH-PSO), which is a recently emerged variant of particle swarm optimization (PSO), for launch vehicle trajectory optimization, which can efficiently handle the constraints and drive the system towards optimality. TH-PSO approach is implemented on a multistage liquid propellant rocket, taking angle of attack as the control parameter. Single and dual thrust cases were solved using TH-PSO technique, and a comparative study was made with classical PSO in terms of terminal error, IE consistency of solutions. Based on the statistics, it can be confirmed that in both single and dual thrust cases TH-PSO outperformed, classical PSO.

Original languageEnglish
Pages (from-to)200-207
Number of pages8
JournalInternational Review of Aerospace Engineering
Volume9
Issue number6
DOIs
Publication statusPublished - 2016

Fingerprint

Launch vehicles
Particle swarm optimization (PSO)
Trajectories
Liquid propellants
Angle of attack
Rockets
Statistics

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Aerospace Engineering
  • Fluid Flow and Transfer Processes
  • Electrical and Electronic Engineering

Cite this

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