上海交通大学学报

上海交通大学学报（自然版）

• 机械工程 • 上一篇    下一篇

基于模拟退火遗传算法的电液伺服马达超低速性能

袁立鹏a,b，崔淑梅a，卢红影b，李尚义b
  

  1. (哈尔滨工业大学a. 电气工程及自动化学院； b. 机电工程学院， 哈尔滨 150001）
  • 收稿日期:2009-09-16 修回日期:1900-01-01 出版日期:2010-12-31 发布日期:2010-12-31

Research on Low Speed Performance of ElectroHydraulic Servomotor
Based on Improved Simulated Annealing Genetic Algorithm

YUAN Lipenga,b,CUI Shumeia,LU Hongyingb,LI Shangyib
  

  1. (a. School of Electrical Engineering and Automation; b. School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China)
  • Received:2009-09-16 Revised:1900-01-01 Online:2010-12-31 Published:2010-12-31

摘要： 针对电液伺服马达超低速运行时局部爬行及振荡现象，分析了密闭工作容腔内流量及压力的连续特性，采用了自适应改进模拟退火遗传算法，对马达超低速性能结构进行寻优解算，得出马达定子预过渡曲线及其包角范围和配油三角缓冲槽理论公式及最佳尺寸.通过仿真及实验研究，结果表明，该方法可以将遗传算法全局规划能力与模拟退火法局部优化特性进行有效结合，并具有良好的邻域特性和初值鲁棒性，其优化结果能够保证新型连续回转电液伺服马达跟踪0.001 °/s超低速斜坡信号和满足0.001 °的公差带要求.

关键词: 电液伺服马达, 遗传算法, 低速性能, 模拟退火法

Abstract: This paper analyzed the flux and pressure continuous characteristic of electrohydraulic servomotor airtight cavity. And an improved genetic algorithm involving the mechanism of simulated annealing was introduced to carry out the structure optimization for improving low speed performance. The formula of pretransitional curve of the stator and its angle range was derived, and the optimum dimension of triangle cushioning groove of the valve plate was also obtained. This optimization method perfectly combines the global optimal characteristic of genetic algorithm and the local optimal specialty of simulated annealing algorithm. The algorithm not only avoids premature convergence, but also makes the neighborfunction structure more reasonable. Applying this method to design the servomotor, the continuous rotary electrohydraulic servomotor can track the low speed ramp signal of 0.001 °/s and the tracking precision can reach the boundary of 0.001 °.

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