Robust Airfoil Optimization Based on Improved Particle Swarm Optimization Method

WANG Yuan-yuan; ZHANG Bin-qian; CHEN Ying-chun

doi:10.3879/j.issn.1000-0887.2011.10.003

Volume 32 Issue 10

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WANG Yuan-yuan, ZHANG Bin-qian, CHEN Ying-chun. Robust Airfoil Optimization Based on Improved Particle Swarm Optimization Method[J]. Applied Mathematics and Mechanics, 2011, 32(10): 1161-1168. doi: 10.3879/j.issn.1000-0887.2011.10.003

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Robust Airfoil Optimization Based on Improved Particle Swarm Optimization Method

doi: 10.3879/j.issn.1000-0887.2011.10.003

1.
College of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, P. R. China;

Received Date: 2011-01-30
Rev Recd Date: 2011-07-07
Publish Date: 2011-10-15

Abstract

Abstract

A robust airfoil optimization platform was constructed based on modified particle swarm optimization method(i.e.second-order oscillating particle swarm method),which consists of an efficient optimization algorithm,a precise aero dynamic analysis program,a highac-curacy surrogate model and a classical airfoil parametric method.There are two improvements for the modified particle swarm method compared to standard particle swarm method.Firstly,particle velocity was represented by the combination of particle position and variation of position,which makes the particle swarm algorithm become a second-order precision method with respect to particle position.Secondly,for the sake of adding diversity to the swarm and enlarging parameter searching domain to improve the global convergence performance of the algorithm,an oscillating term was introduced to the update formula of particle velocity.At last,taking two airfoils as examples,the aerodynamic shapes were optimized on this optimization platform.It is shown from the optimization results that the aerodynamic characteristic of the airfoils was greatly improved at a broad design range.
- modified particle swarm method,
- surrogate model,
- modified BP neutral network,
- supercritical character,
- robust design

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References(11)

References

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