Bio-inspired computing for launch vehicle design and trajectory optimization

Authors:
Sundaram Suresh;Hai-Jun Rong;Narasimhan Sundararajan
Affiliations:
Department of Electrical Engineering, Indian Institute of Technology, Delhi, India;School of Aerospace, Xi'an Jiaotong University, Xi'an, China;School of Electrical Engineering, Nanyang Technological University, Singapore
Venue:
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Year:
2009

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Abstract

This paper presents an optimization tool for launch vehicle design and trajectory optimization using bioinspired computing algorithms and nonlinear programming. The objective is to size a launch vehicle such that the payload to lift-of-weight ratio is maximized (i.e the lift off weight is a minimum). Here, the staging problem is solved using Particle Swarm Optimization (PSO) method. With the above vehicle, an optimal trajectory is arrived at using a Real-Coded Genetic Algorithm (RCGA) and solving a nonlinear programming (NLP) by the direct shooting method. The solutions from PSO and RCGA are used for initialization of NLP variables. A case study is carried out that establishes the advantage of the proposed approach.