Research on Multi-Objective Optimization Design of Thrust Vector Control Actuator

Jun Zhou; Jiao Long Zhang; Feng Qi Zhou

doi:10.4028/www.scientific.net/AMR.591-593.15

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Research on Multi-Objective Optimization Design of...

Research on Multi-Objective Optimization Design of Thrust Vector Control Actuator

Abstract:

Aiming at the seriously nonlinear problems of the single nozzle thrust vector control servo system, this paper detailedly deduced the functional relations between the layout of actuators and system dynamic parameters, on the basis of which, a multi-objective optimization model was established with coupling degree, angular asymmetry, as well as length and variation degree of initial swinging arm taken into consideration. Linear weighting method was adopted to convert the multi-objective function into a uni-objective one and an improved genetic algorithm with good robustness was utilized to solve the optimization problem. Calculation results demonstrated that, with this optimization algorithm, sub-objective functions all reach the ideal effects when uni-objective function achieves optimum. The optimization method guarantees that coupling degree, angular asymmetry and swinging arm variation achieve minimum when the initial swinging arm length is at its maximum, which provides theoretical basis for the actuator layout of thrust vector control.

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Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

15-20

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.15

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Online since:

November 2012

Authors:

Jun Zhou, Jiao Long Zhang, Feng Qi Zhou

Keywords:

Genetic Algorithm (GA), Multi-Objective Optimization (MOP), Swinging Nozzle, Thrust Vector Control

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References

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