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

Author(s):  
Ho Pham Huy Anh ◽  
Kyoung Kwan Ahn ◽  
Yoon Jong Il
2014 ◽  
Vol 17 (1) ◽  
pp. 62-80
Author(s):  
Anh Pham Huy Ho ◽  
Nam Thanh Nguyen

In this paper, a novel inverse dynamic fuzzy NARX model is used for modeling and identifying the IPMC-based actuator’s inverse dynamic model. The contact force variation and highly nonlinear cross effect of the IPMC-based actuator are thoroughly modeled based on the inverse fuzzy NARX model-based identification process using experiment input-output training data. This paper proposes the novel use of a modified particle swarm optimization (MPSO) to generate the inverse fuzzy NARX (IFN) model for a highly nonlinear IPMC actuator system. The results show that the novel inverse dynamic fuzzy NARX model trained by MPSO algorithm yields outstanding performance and perfect accuracy.


2009 ◽  
Vol 42 (10) ◽  
pp. 1074-1079 ◽  
Author(s):  
Luigi Piroddi ◽  
Marcello Farina ◽  
Marco Lovera

2021 ◽  
Author(s):  
Jie Deng ◽  
Weiwei Shang ◽  
Bin Zhang ◽  
Shengchao Zhen ◽  
Shuang Cong

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