Effective Ground Mapping for Autonomous Excavation

Author(s):  
Abdullah Rasul ◽  
Amir Khaicnour ◽  
Jaho Seo
2021 ◽  
Vol 10 (1) ◽  
pp. 43
Author(s):  
Fattah Hanafi Sheikhha ◽  
Ali Afzalaghaeinaeini ◽  
Jaho Seo

A hydraulic excavator consists of multiple electrohydraulic actuators (EHA). Due to uncertainties and nonlinearities in EHAs, it is challenging to devise a proper control strategy. To tackle this issue, a major goal of our study is to provide an efficient control strategy to minimize tracking errors of the bucket tip position for autonomous excavation. To accomplish the goal, the study offers a collaboration of PID and fuzzy controllers that are used to compensate for contour errors and achieve accurate actuator position control, respectively. Co-simulation models including control algorithms and hydraulic components were created using Matlab and Amesim to validate the performance of the designed controllers. Simulations indicate that the proposed method enables achieving accurate tracking control for autonomous excavation with small tracking errors despite the nonlinear characteristics of the hydraulic excavator system.


Author(s):  
Masahiro Ono ◽  
Gary Doran ◽  
Erik Langert ◽  
Kiri Wagstaff ◽  
David Inkyu Kim ◽  
...  

1998 ◽  
pp. 124-128 ◽  
Author(s):  
Anh Tuan Le ◽  
Quang Nguyen ◽  
Q. P. Ha ◽  
David Rye ◽  
Hugh Durrant-Whyte ◽  
...  

2006 ◽  
Vol 23 (6-7) ◽  
pp. 379-394 ◽  
Author(s):  
Matthew Dunbabin ◽  
Peter Corke

2017 ◽  
Vol 2 (4) ◽  
pp. 2151-2158 ◽  
Author(s):  
Dominic Jud ◽  
Gabriel Hottiger ◽  
Philipp Leemann ◽  
Marco Hutter

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