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System for accurate dynamic model of actuator based on pneumatic artificial muscles

机译:基于气动人工肌肉的执行器精确动态模型系统

摘要

System for refining a dynamic actuator model based on pneumatic artificial muscles, comprising a wake-up signal block (1), an input / output communication block (2), a signal processing block (3), an block (4) analytical model actuator, block (5) differential member, recurrent neural network block (6), pneumatic artificial muscle actuator block (7), angle displacement sensor block (8), blocks (9) and (10) muscle and block force sensors (11), and (12) muscle pressure sensors. The input / output communication block (2) provides an interaction between the PC and the actuator, its output being input to the pneumatic artificial actuator block (7) and to the signal processing block (3) whose output is matched to the output from block (4) of the actuator analytical model in block (5) of the differential member. The output of this block is an input to a recurrent neural network block (6) for obtaining an estimate of disturbance variables based on input data obtained by actuating the actuator block (1).
机译:用于完善基于气动人造肌肉的动态致动器模型的系统,包括唤醒信号块(1),输入/输出通信块(2),信号处理块(3),模块(4)分析模型致动器,块(5)差动件,递归神经网络块(6),气动人工肌肉致动器块(7),角度位移传感器块(8),块(9)和(10)肌肉和块力传感器(11), (12)肌肉压力传感器。输入/输出通信模块(2)提供PC和执行器之间的交互作用,其输出被输入到气动人工执行器模块(7)和信号处理模块(3),后者的输出与模块的输出相匹配(4)的执行器分析模型中的差动件的方框(5)。该块的输出是到递归神经网络块(6)的输入,该循环神经网络块(6)基于通过致动致动器块(1)获得的输入数据来获得干扰变量的估计。

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