The Applications of Improved Genetic Algorithm on Hypersonic Vehicle Trajectory Optimization

Liu Xu; Wei Min Li; Lin Zhang; An Tang Zhang

doi:10.4028/www.scientific.net/AMR.466-467.1095

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 466-467The Applications of Improved Genetic Algorithm on...

The Applications of Improved Genetic Algorithm on Hypersonic Vehicle Trajectory Optimization

Abstract:

The Optimal trajectory design for hypersonic cruise missile is an optimal control problem with strict terminal constraints and variable final time. The classical algorithms always encounter the problems of high sensitivity to initial guess and local convergence in solving this problem. Aiming at these problems, genetic algorithm (GA) which is of good global convergence is applied to designing the optimal trajectory for hypersonic cruise missile. In order to improve the convergence rate of GA and overcome its premature problems, this text introduces a predatory search (PS) strategy to speed the convergence of genetic algorithms, robust and closer to the optimal solution. This text compares the original genetic algorithm (GA) and improved genetic algorithm by the emulate experiments, and the results show that the PSGA is a more effective method to design the Optimal trajectory for hypersonic cruise missile than the original genetic algorithm.

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Periodical:

Advanced Materials Research (Volumes 466-467)

Pages:

1095-1099

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.466-467.1095

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Online since:

February 2012

Authors:

Liu Xu, Wei Min Li, Lin Zhang, An Tang Zhang

Keywords:

Genetic Algorithm (GA), Hypersonic Cruise Missiles, Optimization, Predatory Search

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References

[1] CHEN CANG. Genetic Alorithm Optimization of RLV Trajectory[j]. AIAA-(2005).

Google Scholar

[2] H M PRASANNA, D GHOSE. Interpolation-Aware Trajectory Optimizaation for a Hypersonic Vehicle Using Nonlinear Programming[j], AIAA-(2005).

DOI: 10.2514/6.2005-6063

Google Scholar

[3] LNHARES A. Preying on optima: a predatory search strategy for combinatorial problems[C]/ /Proc of IEEE International Conference of Systems, Man and Cybernetics Piscataway NJ: 1998：2974-2978.

DOI: 10.1109/icsmc.1998.725116

Google Scholar

[4] Hell1erM, SachsG. Flight dynan ics and robust control of a hy-personic test vehicle with ranjet propulsion[R ]. A IAA-98-152, (1998).

Google Scholar

[5] WuSF, Engelen CJH, BabuskaR, etal intelligent flight controller design with fuzzy logic for an atmospherics re-entry vehicle[R]. AAIA-2000-0174, (2000).

DOI: 10.2514/6.2000-174

Google Scholar