Multi-Objective Optimization of Actuator Locations and Numbers for Piezoelectric Intelligent Trusses Based on Genetic Algorithm

Jing Jun Zhang; Shi Jun Zhang; Li Li He; Rui Zhen Gao

doi:10.4028/www.scientific.net/AMR.393-395.189

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 393-395Multi-Objective Optimization of Actuator Locations...

Multi-Objective Optimization of Actuator Locations and Numbers for Piezoelectric Intelligent Trusses Based on Genetic Algorithm

Abstract:

The locations and number of actuators in piezoelectric truss is very important. The best number and locations of actuators can make truss node displacement minimum. Based on the function of truss node displacement, this paper analysis the axial force of every bar of intelligent truss, and deduced the piezoelectric truss node displacement, and optimized the location and number of truss using genetic algorithm (GA). The results of the example show that the proposed method is effective.

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Periodical:

Advanced Materials Research (Volumes 393-395)

Pages:

189-192

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.393-395.189

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Online since:

November 2011

Authors:

Jing Jun Zhang, Shi Jun Zhang, Li Li He, Rui Zhen Gao

Keywords:

Actuator, Genetic Algorithm (GA), Intelligent Truss, Multi-Objective Optimization (MOP), Piezoelectric

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References

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