摘要
针对永磁直线同步电机ＰＭＬＳＭ 伺服系统中的诸多不确定性问题， 提出了采用神经网络来实现实时积分－ 比例ＩＰ 位置控制器的在线设计。本文所提出的神经网络结构合理、简单，权值具有明确物理意义和可以在线快速调整的特点， 以便进行实时控制。用由递推最小二乘估计器ＲＬＳ和负载扰动力观测器构成的估计器来估计动子质量、粘滞摩擦系数和负载扰动力。将观测的负载扰动力前馈， 进一步增强系统的鲁棒性。
This paper presents a real time IP position controller realized by neural network for permanent magnet linear synchronous motor(PMLSM) servo system In the paper,neural networks configuration is simple and reasonable,and weight has definitely physical meaning It has rapidly adjusting character in ordef to real time control The mover mass,viscous friction factor and disturbance force are estimated by the proposed estimator,which is composed of a recursive least square(RLS)estimator and a disturbance observer The observed disturbance force is fed forward,to increase the robustness of PMLSM drive system
出处
《电工技术学报》
EI
CSCD
北大核心
1999年第6期1-4,共4页
Transactions of China Electrotechnical Society
基金
国家自然科学基金
