Optimal trajectory generation of launch vehicle using PSO algorithm

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an approach to solve a trajectory optimization problem for a launch vehicle using particle swarm optimization. Trajectory generation for a single stage liquid propellant launch vehicle is considered by using angle of attack as a control variable. The problem is solved by considering minimization of terminal error as an objective with some path constraints and fixed boundary conditions. The burning time of the liquid rocket engine is fixed, leading to fixed time problem. Two different types of inertia weight is examined in this problem, one is the random function and the other is linearly varying. The effectiveness is verified using simulation results obtained from Matlab simulation environment.

Original languageEnglish
Title of host publication2015 1st International Conference on Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages56-60
Number of pages5
ISBN (Electronic)9781479984336
DOIs
Publication statusPublished - 10-07-2015
Event2015 1st International Conference On Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015 - Greater Noida, India
Duration: 25-02-201527-02-2015

Conference

Conference2015 1st International Conference On Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015
CountryIndia
CityGreater Noida
Period25-02-1527-02-15

Fingerprint

Launch vehicles
Particle swarm optimization (PSO)
Trajectories
Liquid propellants
Rocket engines
Angle of attack
Boundary conditions
Liquids

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Computational Theory and Mathematics

Cite this

Dileep, M. V., Kamath, S., & Nair, V. G. (2015). Optimal trajectory generation of launch vehicle using PSO algorithm. In 2015 1st International Conference on Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015 (pp. 56-60). [7154970] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ABLAZE.2015.7154970
Dileep, M. V. ; Kamath, Surekha ; Nair, Vishnu G. / Optimal trajectory generation of launch vehicle using PSO algorithm. 2015 1st International Conference on Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 56-60
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Dileep, MV, Kamath, S & Nair, VG 2015, Optimal trajectory generation of launch vehicle using PSO algorithm. in 2015 1st International Conference on Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015., 7154970, Institute of Electrical and Electronics Engineers Inc., pp. 56-60, 2015 1st International Conference On Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015, Greater Noida, India, 25-02-15. https://doi.org/10.1109/ABLAZE.2015.7154970

Optimal trajectory generation of launch vehicle using PSO algorithm. / Dileep, M. V.; Kamath, Surekha; Nair, Vishnu G.

2015 1st International Conference on Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 56-60 7154970.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - This paper presents an approach to solve a trajectory optimization problem for a launch vehicle using particle swarm optimization. Trajectory generation for a single stage liquid propellant launch vehicle is considered by using angle of attack as a control variable. The problem is solved by considering minimization of terminal error as an objective with some path constraints and fixed boundary conditions. The burning time of the liquid rocket engine is fixed, leading to fixed time problem. Two different types of inertia weight is examined in this problem, one is the random function and the other is linearly varying. The effectiveness is verified using simulation results obtained from Matlab simulation environment.

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Dileep MV, Kamath S, Nair VG. Optimal trajectory generation of launch vehicle using PSO algorithm. In 2015 1st International Conference on Futuristic Trends in Computational Analysis and Knowledge Management, ABLAZE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 56-60. 7154970 https://doi.org/10.1109/ABLAZE.2015.7154970