基于输入输出回归神经网络的超声马达辨识和速度控制(英文)

Identification and Bimodal Speed Control of Ultrasonic Motors Using Input-Output Recurrent Neural Networks

建立了一个新的输入 输出反馈神经网络结构用于超声马达速度辨识 .给出了以驱动电压的幅值和驱动频率为控制量的双模式速度控制器 ,推导了辨识器和控制器的动态递归反传算法 .数值模拟结果表明 ,辨识器能比较精确地描述马达的输入 输出关系 ,双模式神经网络控制器对多种形式的参考速度 。

A newly developed input output recurrent neural network (IORNN) identifier of USM is constructed. A bimodal neural network controller is designed where both the driving frequency and amplitude of the applied voltage are used as control inputs. The dynamic recurrent back propagation algorithm of the identifier and controller are developed. Numerical results show that the proposed IORNN identifier can approximate the nonlinear input output mappings of the ultrasonic motor quite well. Good effectiveness of ...