摘要
为解决在环境及负载扰动影响下,中厚板液压位置伺服系统采用常规控制方式很难取得理想效果的问题,首先为便于分析研究,根据中厚板液压系统各环节的机制特性,分别建立了位移传感器、伺服放大器、伺服阀、液压缸及轧辊组合等环节的数学模型。然后在对性能优良的离散蚁群算法改进基础上,通过多层次异构搜索机制对解空间精细搜索,得到可用于连续域寻优的多层蚁群算法。并将改进算法应用到液压位置伺服系统中,根据系统性能指标对控制器进行智能优化。仿真结果表明,采用多层蚁群优化算法的液压位置伺服系统收敛速度明显加快,适应能力与鲁棒性也要好于常规控制方式。
To settle the problem that plate hydraulic servo control system using general manner is difficult to get ideal results under the influence of changing in the environment and load disturbance, a system model was established according to the mechanism characteristic of servo system, based on the ant colony optimization （ ACO）, a multilayer ant colony optimization for continuous domains was proposed using heterogeneous search on solution space, the improved algorithm was used for intelligent optimization of hydraulic servo controller according to performance indicators. The simulation results indicate that the convergent speed of the system using multilayer ant colony optimization is faster than the others, and it has satisfied adaptability and robustness
出处
《机床与液压》
北大核心
2008年第8期266-269,230,共5页
Machine Tool & Hydraulics
关键词
中厚板
液压位置伺服系统
蚁群算法
Plate
Hydraulic servo control system
Ant colony algorithm
