【摘要】 本文提出一种针对机械加工中具有非周期扰动的给定信号周期重复的自适应神经学习控制策略 (ANELC)。采用自适应控制与神经元学习相结合的方法。采用超稳定理论进行了稳定性的证明。仿真表明 ,ANELC有较高的跟踪精度和抗干扰能力。更多还原

【Abstract】 In this paper, a new adaptive neural element learning control algorithm which is aims at periodic reference signal with a non periodic disturbance in mechanical engineering is presented. This algorithm adopts an adaptive control and a neural element. Its stability is researched by using hyperstability. The simulation studies show that the ANELC algorithm has better performance in accuracy and disturbance resistant ability.更多还原