Hydraulic Self Servo Swing Cylinder Structure Optimization and Dynamic Characteristics Analysis Based on Genetic Algorithm
Lin Jiang, Ruolin Wu,Zhichao Zhu
(College of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China)
Abstract:
The dynamic characteristics of hydraulic self servo swing cylinder were analyzed according to the hydraulic system natural frequency formula. Based on that, a method of the hydraulic self servo swing cylinder structure optimization based on genetic algorithm was proposed in this paper. By analyzing the four parameters that affect the dynamic characteristics, we had to optimize the structure to obtain as larger the Dm(displacement) as possible under the condition with the purpose of improving the dynamic characteristics of hydraulic self servo swing cylinder. So three state equations were established in this paper. The paper analyzed the effect of the four parameters in hydraulic self servo swing cylinder natural frequency equation and used the genetic algorithm to obtain the optimal solution of structure parameters. The model was simulated by substituting the parameters and initial value to the simulink model. Simulation results show that: using self servo hydraulic swing cylinder natural frequency equation to study its dynamic response characteristics is very effective. Compared with no optimization, the overall system dynamic response speed is significantly improved.
Key words: hydraulic self servo swing cylinder genetic algorithm natural frequency structural optimization dynamic characteristic
DOI：10.11916/j.issn.1005-9113.2015.04.005
Clc Number:TP24
Fund:
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Hydraulic Self Servo Swing Cylinder Structure Optimization and Dynamic Characteristics Analysis Base
本站小编 哈尔滨工业大学/2019-10-23
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