Dynamic model identification of the 2-Axes PAM robot arm using neural MIMO NARX model

In this paper, a novel inverse dynamic MIMO NARX model is used for modeling and identifying simultaneously both of joints of the prototype 2-axes PAM robot armpsilas inverse dynamic model. The contact force variations and highly nonlinear coupling features of both links of the 2-axes PAM robot arm are modeled thoroughly through an inverse neural MIMO NARX model-based identification process using experiment input-output training data. For the first time, the nonlinear inverse dynamic MIMO NARX model scheme of the prototype 2-axes PAM robot arm has been investigated. The results show that proposed dynamic intelligent model trained by back propagation learning algorithm yields outstanding performance and perfect accuracy.