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出 处:《电气传动》2011年第9期41-45,共5页Electric Drive
基 金:唐山市科技局应用基础研究项目(04360801B-1)
摘 要:针对永磁线性同步电动机在位置控制中易受系统参数变化、外界负载干扰以及摩擦力等不确定因素的影响,提出并设计了以径向基神经网络为预估器的互补式滑模控制器,以实现精确的位置控制。设计中利用饱和函数作为切换函数,利用径向基神经网络预测器来预测系统中的不确定项。从而减少了系统的抖振,消除稳态误差,提高了系统的暂态响应速度。通过仿真结果,验证了该控制器具有优异的跟踪能力和鲁棒性。For the disadvantage of the permanent magnet linear synchronous motor (PMLSM), which the control system easy affected by the changes such as the parameters of the system, the influence and the unknown factors,to realize the accuracy position control in the PMLSM,a complementary sliding mode control system with radial basis function network estimator was proposed. In the design,a saturation function is used as a switching function,and use an estimator which based on radial basis function network to predict the uncer- tain items. It can reduce the chattering of the system,eliminate the steady-state error,and improve the speed of transient response. From the simulation, it proves that the complementary sliding mode control system with radial basis function network estimator has good performance for precision position control and robust control.
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