Application of Genetic Algorithm in the Structural Optimization of Parallel Sensor

Fang Hua Liu; Hong Tao Wu

doi:10.4028/www.scientific.net/KEM.464.344

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 464Application of Genetic Algorithm in the Structural...

Application of Genetic Algorithm in the Structural Optimization of Parallel Sensor

Abstract:

The parallel structure of the sensor, which based on Stewart platform, has a direct impact on the technical quota. This article uses Genetic Algorithm to parameterize the model of the sensor. Take the isotropy target of the sensor as objective function, and take five basic structural parameters of the Stewart platform as design variables. Then it optimizes the structure of the sensor. Then apply the virtual prototype technology of ADAMS to simulate. At last, it found the transformation relation between the isotropy target of the sensor and each parameter. It can offer an important gist for optimizing the structure of the sensor.

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Periodical:

Key Engineering Materials (Volume 464)

Pages:

344-349

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.464.344

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Online since:

January 2011

Authors:

Fang Hua Liu, Hong Tao Wu

Keywords:

Adam, Improved Genetic Algorithm (IGA), Isotropy, Parallel Sensor, Stewart Platform, Structure Optimization

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