Adaptive Neuro-Fuzzy Inference System Based Path Planning for Excavator Arm
Joint Authors
Vu, Nga Thi-Thuy
Tran, Nam Phuong
Nguyen, Nam Hoai
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-02
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper presents a scheme based on Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to generate trajectory for excavator arm.
Firstly, the trajectory is predesigned with some specific points in the work space to meet the requirements about the shape.
Next, the inverse kinematic is used and optimization problems are solved to generate the via-points in the joint space.
These via-points are used as training set for ANFIS to synthesis the smooth curve.
In this scheme, the outcome trajectory satisfies the requirements about both shape and optimization problems.
Moreover, the algorithm is simple in calculation as the numbers of via-points are large.
Finally, the simulation is done for two cases to test the effect of ANFIS structure on the generated trajectory.
The simulation results demonstrate that, by using suitable structure of ANFIS, the proposed scheme can build the smooth trajectory which has the good matching with desired trajectory even that the desired trajectory has the complicated shape.
American Psychological Association (APA)
Vu, Nga Thi-Thuy& Tran, Nam Phuong& Nguyen, Nam Hoai. 2018. Adaptive Neuro-Fuzzy Inference System Based Path Planning for Excavator Arm. Journal of Robotics،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1197771
Modern Language Association (MLA)
Vu, Nga Thi-Thuy…[et al.]. Adaptive Neuro-Fuzzy Inference System Based Path Planning for Excavator Arm. Journal of Robotics No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1197771
American Medical Association (AMA)
Vu, Nga Thi-Thuy& Tran, Nam Phuong& Nguyen, Nam Hoai. Adaptive Neuro-Fuzzy Inference System Based Path Planning for Excavator Arm. Journal of Robotics. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1197771
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197771