Hydraulic Self Servo Swing Cylinder Structure Optimization and Dynamic Characteristics Analysis Based on Genetic Algorithm

作     者：Lin Jiang Ruolin Wu Zhichao Zhu 

作者机构：College of Machinery and AutomationWuhan University of Science and Technology 

出 版 物：《Journal of Harbin Institute of Technology(New Series)》 (哈尔滨工业大学学报（英文版）)

年 卷 期：2015年第22卷第4期

页      面：36-46页

核心收录：

学科分类：080202[工学-机械电子工程] 08[工学] 0804[工学-仪器科学与技术] 0802[工学-机械工程] 

基　　金：Sponsored by the National Natural Science Foundation of China(Grant No.61105086) Self-Planned Task of State Key Laboratory of Robotics and System(HIT)(Grant No.SKLRS-2010-MS-12) Hubei Province Natural Science Foundation(Grant No.2010CDB0 3405) 

主　　题：hydraulic self servo swing cylinder genetic algorithm natural frequency structural optimization dynamic characteristic 

摘      要：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 *** with no optimization,the overall system dynamic response speed is significantly improved.