scholarly journals Nonlinear Model-Based Tracking Control of Underwater Vehicles With Three Degree-of-Freedom Fully Coupled Dynamical Plant Models: Theory and Experimental Evaluation

2018 ◽  
Vol 26 (2) ◽  
pp. 404-414 ◽  
Author(s):  
Stephen C. Martin ◽  
Louis L. Whitcomb
2005 ◽  
Vol 2005 (0) ◽  
pp. _617-1_-_617-5_
Author(s):  
Hiroyuki KOJIMA ◽  
Hideyuki CHIGIRA ◽  
Yoshihumi KUWANO ◽  
Keiichi ABE ◽  
NORIYOSHI Kikuchi ◽  
...  

2013 ◽  
Vol 416-417 ◽  
pp. 554-558
Author(s):  
Po Huan Chou ◽  
Faa Jeng Lin ◽  
Chin Sheng Chen ◽  
Feng Chi Lee

A three-degree-of-freedom (3-DOF) dynamic model based interval type-2 recurrent fuzzy neural network (IT2RFNN) control system is proposed in this study for a gantry position stage. To consider the effect of inter-axis mechanical coupling, a Lagrangian equation based 3-DOF dynamic model for gantry position stage is derived first. Then, to minimize the synchronous error and tracking error of the gantry position stage, the 3-DOF dynamic model based IT2RFNN control system is proposed. In this approach, the adaptive learning algorithms of the IT2RFNN on-line are derived from the Lyapunov stability theorem. Finally, some experimental results of optical inspection application are illustrated to show the validity of the proposed control approach.


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