摘要
针对永磁直线同步电机(PMLSM)伺服系统,在分析影响直线伺服跟踪精度因素的基础上,采用学习前馈控制(LFFC)策略对其进行有效的补偿控制。在系统和扰动定性知识的基础上,设计了基于B样条网络的学习前馈补偿控制。仿真结果表明,该控制策略有效地降低了负载扰动、端部效应、摩擦力及参数变化等对系统性能的影响,提高了直线伺服系统的跟踪精度。
For permanent magnet linear synchronous motors （PMLSM） servo system, on the basis of the analyzing the factor that influences the tracking precision of servo system, Learning Feed-Forward Control （LFFC） is introduced to suppress further the tracking error. In this paper, LFFC based on B-spline network （BSN） is designed by means of qualitative knowledge of the process and disturbances. Simulation results show that the proposed scheme can reduce effectively the influence of external disturbances, end effect, friction and parameters variation, and enhance the tracking performance of the PMLSM servo system.
出处
《组合机床与自动化加工技术》
2005年第9期46-48,共3页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金资助(50075057)
